Executive CV

LI Jiang李江

Group-Level AI Executive · Enterprise AI Strategy & Transformation · Founder-CEO

Progressed from research, to founding and leading a global deep-tech company, to enterprise AI leadership at a listed group. Most recently Assistant President of the Group and Head of AI at Glodon (Shanghai/Shenzhen-listed), with end-to-end responsibility for the group's AI strategy, technology architecture, organisation and industrial deployment, and the company's most senior authority on AI. Now advising CEOs and executive boards on AI strategy.

Born 1979Based in Guangzhou, ChinaChinese nationalityWorking languages EN / ZH

100M+

RMB direct AI revenue, 2025

6×

AI revenue growth in one year (RMB 17M → 100M+)

person AI Center of Excellence, research–engineering–product

30⁺

countries shipped to as founder-CEO of Touchjet

01 / SummaryExecutive Summary

Strategic judgement at senior-management level, combined with credible, hands-on technical authority in industry large models, multi-agent systems and enterprise AI governance.

From 2021 to 2026, Assistant President of the Group and Head of AI at Glodon, holding end-to-end responsibility for the group's AI strategy, technology architecture, organisation and industrial deployment. Set the direction of the group's AI investment, drove its transition from a traditional software vendor to an AI-driven platform business, built the AI organisation from separate functions into an integrated Center of Excellence, and led an AI product portfolio that delivered RMB 100 million+ in direct revenue in 2025.

Previously Founder & CEO of Touchjet, a deep-tech AIoT company built from concept into a global business operating across Singapore, the United States and China, whose products won the Edison Gold Award. Principal Investigator on a National Key R&D Programme (14th Five-Year Plan) and a National High-Level Talent.

Since 2026, an independent AI strategy advisor to the CEOs and executive boards of industrial-software, brain-inspired AI and medical-device companies. The agentic application prototypes built during this period are collected at string2ai.com; see Selected Work below.

Career progression

2001 – 2013

Ph.D. researcher & academicNanyang Technological University · Nanyang Polytechnic, Singapore

2013 – 2021

Founder-CEO of a global deep-tech companyTouchjet · Singapore / United States / China

2021 – 2026

Group-level AI executive at a listed enterpriseGlodon · Assistant President of the Group & Head of AI

2026 – present

AI strategy advisor to CEOs and executive boardsHaitong Anheng · Brainary · Wisonic Medical

02 / Signature AchievementsSignature Executive Achievements

Six verifiable outcomes: commercial, transformation, organisation, governance, national R&D, company building.

Commercial impact

17M → 100M+

Close to six-fold AI revenue in one year

Grew Glodon's direct AI revenue from RMB 17 million (2024) to RMB 100 million+ (2025) across 100+ paying enterprise customers. AI direct revenue is disclosed separately in the group's annual report.

Enterprise transformation

3-year roadmap

From traditional software to an AI-driven platform

Formulated the group's three-year AI technology roadmap and target architecture and drove the transition across Digital Cost, Digital Construction and Digital Design, directing an annual AI headcount budget of RMB 35 million and an RMB 40 million compute-infrastructure build.

Organisation building

50people

Group AI Center of Excellence

Integrated algorithm, data, engineering and product into one research–engineering–product organisation with group-wide AI engineering standards and a technical governance system.

Governance & regulatory

Registered + MLPS L3

Adoption by security-sensitive clients

Took the industry large model GlodonGPT through national large-model registration and the industry AI platform through MLPS 2.0 Level 3 certification (Ministry of Public Security), enabling adoption by security-sensitive enterprise and public-sector clients.

National-level R&D

RMB 5M

Principal Investigator, National Key R&D Programme

Principal Investigator, Task 2, National Key R&D Programme of the 14th Five-Year Plan; RMB 5 million central-government funding within a RMB 54 million programme.

Company building

30+ countries

From zero to a global operation

Founded Touchjet and built a complete R&D–supply chain–go-to-market operation across three countries; Pond and WAVE raised over USD 1.6 million across two crowdfunding campaigns; products sold through Best Buy and Amazon to 30+ countries; recognised with the Edison Gold Award.

03 / Executive CompetenciesExecutive Leadership Competencies

Six domains, each the method behind one of the achievements above.

Enterprise AI Strategy & Transformation

Group AI strategy, investment prioritisation, roadmaps, business-line transformation.

Commercialisation & Business Impact

AI product portfolio, revenue creation, technology commercialisation, go-to-market.

Organisational Leadership

Cross-disciplinary AI organisations, Centers of Excellence, talent and operating models.

Governance, Risk & Compliance

AI governance, engineering standards, regulatory registration, security certification.

Senior Stakeholder & Institutional Engagement

Executive-committee and board advisory, national R&D programmes, government bodies.

Technology Authority

Industry large models, multi-agent systems, enterprise AI architecture, embodied AI.

04 / Executive ExperienceExecutive Experience

Reverse chronological. Each role opens with its scope, then results grouped by strategy, commercial impact, organisation, governance and technology.

May 2026 – Present

Independent AI Strategy Advisor

Advisory mandates to CEOs and executive decision-making bodies

Industrial softwareBrain-inspired AIMedical devices

AI Strategy & Architecture Advisor · three mandates

Presents AI strategy and investment roadmaps directly to CEOs and executive decision-making bodies. Deliverables are executable architectures, product requirements and industrialisation plans, not general advice.

Haitong Anheng Technology Co., Ltd.AI Advisor

Advisor on AI strategy and architecture to a national-level "Little Giant" industrial software company serving 1,800+ clients. Led the architecture, PRD and industrialisation plan of the Industrial Smart Intelligence Platform (ISIP); defined AI solutions across four industries (aircraft maintenance, semiconductor distribution, PV-storage manufacturing, cross-border e-commerce); supported key-project applications and the build-out of the AI team.

Shenzhen Lingzhi Intelligence Technology Co., Ltd. (Brainary)AI Advisor

Advisor to a brain-inspired AI company built in collaboration with Prof. Yang Liu's research group at Nanyang Technological University (NTU), Singapore: 100+ Ph.D. and postdoctoral researchers, 100+ top-tier papers, #1 on SWE-bench Verified and Pro under matched models. Bridge between NTU research and industrial deployment: shaped the positioning of the Brainary AIP platform and Agent OS as a manufacturing decision-intelligence platform (one platform, three AI-worker types: digital, embodied, software), co-authored the angel-round business plan and helped structure the lighthouse-customer pipeline (Lingyi iTech, Han's CNC, BYD, Luxshare).

Shenzhen Wisonic Medical Technology Co., Ltd.AI Advisor

Defined the company's "embodied ultrasound" AI strategy and presented it to the executive decision-making level: ultrasound operation data as the core asset and a three-tier product ladder (guided scanning → human–machine co-operation → embodied robotics); delivered the strategy, data-acquisition system design and embodied-brain training plan now used as the company's R&D basis.

May 2021 – Mar 2026

Glodon Company Limited

Shanghai/Shenzhen-listed construction-technology software group · RMB 6 billion+ revenue

Industry LLMMulti-agentAI governance

Assistant President of the Group & Head of AI · General Manager, Industry AI Division · General Manager, AI Engineering Division

The company's most senior technical authority on AI, with full responsibility for AI strategy, architecture, organisation and industrial deployment. Reported to the President's Office and the Group CTO; led a 50-person AI organisation across algorithm, data, engineering and product; served the main business units including Digital Cost, Digital Construction and Digital Design; budget scope of an annual AI headcount budget of RMB 35 million plus an RMB 40 million compute-infrastructure build budget.

Strategic leadership & enterprise influence

Formulated the group's three-year AI technology roadmap and secured its adoption at Group President's Office level, determining where the group invested in AI, which capabilities it built in-house and which business lines it transformed first.
Drove the transition from a traditional software vendor to an AI-driven platform business, defining the three-tier target architecture (foundation-model layer → intelligence-engine layer → scenario-agent layer) that became the group standard for all AI products.

Commercial impact

Grew direct AI revenue from RMB 17 million in 2024 to RMB 100 million+ in 2025 across 100+ paying enterprise customers by embedding domain agents into customers' revenue-critical workflows: quantity take-off and pricing, tendering and bidding, contract review, construction-schedule optimisation and engineering knowledge Q&A. Revenue booked through the business units; AI direct revenue disclosed as a separate line in the group's annual report.

Organisation & capability building

Established the ~50-person AI Center of Excellence, integrating previously separate algorithm, data, engineering and product teams into a single research–engineering–product mechanism; built the talent pipeline through the group's Ph.D. programme, recruiting new Ph.D. graduates and top master's graduates from universities worldwide; instituted group-wide AI engineering standards and a technical governance system.

Governance, risk & regulatory

Obtained national large-model registration for GlodonGPT and MLPS 2.0 Level 3 certification for the industry AI platform; designed the enterprise-grade AI infrastructure and on-premise deployment system that made adoption possible for security-sensitive clients.

Technology leadership (how the above was delivered)

Architected the building-engineering industry large model (domain knowledge augmentation, enterprise knowledge graph, knowledge-driven agents) and an enterprise-grade multi-agent framework (task planning, tool invocation, closed execution loop), taking LLMs from Q&A tools to executable systems.

Jul 2013 – 2021

Touchjet

Deep-tech AIoT company, computer-vision touch-interaction devices · Singapore / United States / China

FounderPatented touch techTwo crowdfunding runsEdison Gold Award

Founder & Chief Executive Officer

Founded in Singapore in 2013 to turn doctoral research in computer vision into products: patented computer-vision touch technology that makes any wall, table or TV a large, shared Android touchscreen, bringing every mobile app to the big screen. Mission: to bring connectivity, content and collaboration to wherever people meet, work, learn and play together.

Markets & commercialisation

Two Indiegogo campaigns validated the products: Pond (2014) raised over USD 900,000, one of the most successful hardware campaigns of its year; WAVE (2015) hit its USD 100,000 goal within 24 hours and closed above USD 700,000; a community of 8,000+ backers in total.
Retail at Best Buy and Amazon with Stampede as primary distributor; shipped to 30+ countries with the United States as the core market (c. 80% of sales). Four target segments: home, business meeting rooms, hotels and K-12 classrooms; customers included MIT, Capital One, HP, IBM, Swisscom, Century 21 and US school districts such as Long Beach USD.
Partnership with Skyworth / Coocaa with WAVE Jr. shipping in China; manufacturing partnership with Seveco; partnership with Konica Minolta; selected by the US education-technology body CUE in 2016 as a classroom collaboration partner.

Organisation, funding & operations

Built a complete R&D–supply chain–go-to-market system from the ground up and led a 20+-person team across three locations: Singapore (operations and R&D), San Francisco (marketing and channel development) and Shenzhen (manufacturing and supply chain).
Started on a Singapore government i.JAM grant, then closed angel and Series A rounds for about USD 3 million raised by end-2015 from investors including TNF, Yunqi and Mophie; finalist in the USD 5 million 43North startup competition in 2018.

Recognition & succession

2016 Edison Gold Award (Communication & Collaboration); 2015 CES Innovation Award; TechCrunch's Favorite Things of 2015; 2016 BIG Innovation Award; Innovation Showcase winner at the Angel Capital Association Summits, 2017 and 2018.
Handed day-to-day operations to the US team and progressively stepped back from the business by 2021.

Jul 2007 – Jul 2013

Nanyang Polytechnic

School of Interactive & Digital Media · Singapore

Lecturer

Founded the school's interactive media curriculum; led interactive digital media R&D, research commercialisation and project incubation.

05 / Selected WorkSelected Work

The first five groups are agentic application prototypes built during the 2026 advisory period, grouped by business domain and synced from string2ai.com: green means open it and try it, blue means a password is needed, grey means not yet deployed publicly, and all demo data is synthetic. The sixth group is the mass-produced hardware shipped during the Touchjet years (2013–2021); the seventh is the enterprise AI transformation delivered at Glodon (2021–2026).

01 / Agentic APS

Production Planning & Scheduling

Agents discover, compute, compare, explain and push. Anything that changes a promised date or issues an instruction stops in front of the planner. A deterministic solver produces the plan; the language model understands and explains.

Terminal blocks & connectorsStamping → Molding → Plating → Assembly

Agentic APS for Terminal Blocks & Connectors

A scheduling prototype across the whole process chain. Multi-level BOM explosion feeds a global material allocation by customer tier and need date, yielding kitting rate, kitting date and bottleneck materials. A 7-day resource Gantt over 15 work centers shows agent proposals in copper for the planner to accept or reject. Four what-if scenarios, equipment failure, late material, added demand and slowed process, trigger incremental rescheduling.

6 agent roles
Ontology: 19 classes / 25 relations / 15 constraints
CP-SAT scheduling solver
Natural language → SPARQL
Mold life & changeover matrix

Live demo degsonaps.string2ai.com

Automotive catalyst materialsSubstrate · Coating · Kiln firing

Agentic APS for Catalyst Substrates

A scheduling command center for multi-spec honeycomb ceramic substrates (DOC / SCR / GPF / DPF). The kiln is the hard bottleneck, so agents evaluate order acceptance and due dates against 14-day kiln load. From order breakdown to schedule release is one agent pipeline; a human clicks once, at "confirm breakdown", and the rest runs automatically and traceably.

Kiln load & due-date slack
Agent explanation + dialogue
Dashed markers for moved operations
Agent auto-tuning

Live demo sdgc.string2ai.com

PV inverters & energy storage · export-ledGlobal plan coordination

Agentic APS · Export Manufacturing Edition

An 18-agent global edition. The promise changes from ship date to arrival-at-port date. Kitting becomes a three-way test: common parts, country-specific parts, cell matching. The burn-in room is a fixed-duration physical bottleneck. BOMs are configured by platform × country × firmware. Changing a critical part means an 8 to 16 week certification gap in that country. Switching clients proved the value of layering: guardrail and orchestration layers barely moved; the agent and tool layers did.

18 agents
L0–L3 autonomy levels
Five elements of a human checkpoint
Mandatory evidence fields
Certification & compliance guardrail

Not yet public

02 / Operations

Business Process & Executive Decisions

AI embedded in the business action itself, not a chat box beside it. Every suggestion carries a reason and a confidence; rule hits route to a human; every decision leaves a trail that can be replayed.

Semiconductor distribution & manufacturingLTC · P2P · WMS · Finance shared services

Business Process Re-engineering MVP

A runnable end-to-end prototype built from the client's requirements specification. Sales loop: AI quote suggestion with explainable reasons and confidence → rule-engine approval in seconds → credit check and ATP → order, goods issue, automatic invoicing. Expense OCR with confidence-based routing; AI sourcing top-3 and three-way match in purchasing; AI tiered collections, AI reconciliation and NLG monthly reports in finance; a Text-to-SQL data analyst. PC portal, six-theme executive dashboard and a six-role mobile app.

Zero-dependency Python backend + SQLite
21-interface SAP catalogue
Rule engine configuration
AI digital-employee ledger & run logs
Text-to-SQL

Live demo huaqiang.string2ai.com

Cross-border e-commerce · metal & plastic furnitureAmazon multi-warehouse, multi-batch

MarginMind · Inventory Decisions & Sales Forecasting

The decision object is SKU × warehouse × batch, not SKU. A domain ontology serves as the executable contract between the data team and the decision layer: 32 attribute definitions, 17 source-system mappings, 13 constraint axioms, all validated live before any recommendation. A three-state decision-readiness gate; "blocked" refuses to recommend and generates dispatchable fix items. Attribution, expected-value estimation of options, forecast inflection points, and replenishment / promotion / advertising / competitor responses.

Ontology: 8 classes / 7 relations
Ready / Degraded / Blocked gate
Fault-injection drills
Inventory-age & net-price definition traps
TypeScript decision engine

Live demo haijia.string2ai.com

Listed software company · board governanceAnnual decision tool for the founding shareholder

Profit Allocation & Executive Scorecard Decision System

Allocates net profit among shareholders, management, employees and strategic reinvestment, and scores management with a balanced scorecard plus veto items to produce an incentive coefficient. Financial inputs flow into a waterfall allocation; 14 KPIs score on threshold / target / stretch tiers with deferral and clawback rules; a new-product-line board back-fills scorecard metrics; four preset scenarios plus custom scenario comparison; a six-step governance process with a decision record and printable report.

Four-axis radar & ten-year trend
Scenario simulation
Veto items & clawback
Decision audit trail
Mobile-ready

Live demo hrdecision.string2ai.com

03 / People

Organization & Talent

Turn "finding people" from something that depends on personal memory into something data-backed, explainable, auditable and reproducible. The system ranks and gives reasons; a human makes the call.

Large-group HR40,000 employees

Talent Profiling & Job Matching Platform

Ships with 40,000 employee profiles. One sentence, "find 100 people who can go to the Middle East", returns a ranked shortlist with reasons. Hard filters → recall → eight-dimension ranking → organizational balance constraints, each result carrying an evidence chain (language level, project months, relocation willingness). Set per-department draw limits up front; every match leaves a snapshot that can be replayed. An OWL ontology with SHACL compliance red lines: sensitive attributes are barred from the model and enforced by machine. A 300-term skills dictionary is the single source of truth, maintained directly by the business.

Eight-domain profile model
OWL 730 triples / SHACL 7 shapes
Skills dictionary: 14 domains / 300 terms
Skill substitution rules
LLM Q&A fallback service

Live demo talentmatching.string2ai.com

04 / Platform

Platform & Tooling

Pull out what recurs across single scenarios: knowledge elicitation, ontology modeling, agent runtime and autonomy, evaluation and error feedback. Make the second scenario far cheaper than the first.

Digital-employee factory for manufacturingThe eight-stage FDE methodology as software

MetaJet · AI Digital Employee Factory

Not an agent framework; a factory for digital employees. Four modules in a loop: the FDE Engineer module elicits veteran tacit knowledge through 29 standard question types; the Ontology module makes that knowledge white-box and verifiable with a "7+1" semantic specification and hard provenance binding; the Loop Agent runtime earns trust through L0–L4 graded autonomy, sensitive-action gates and end-to-end audit; the AI Coding console runs assets-as-code throughout. No eval, no deploy.

Ontology package library & reuse rate
Digital-employee roster
Eight-stage gate board
Run trace
S7 value review

Password required metajet.string2ai.com

05 / Embodied AI

Embodied Intelligence

Take AI off the screen and onto a robot arm. The capture rig, the training and validation rig and the product prototype are one and the same executor, so nothing migrates between training and deployment. Force targets are realized by the controller and constraints sit outside the model: safety comes from the controller and the hardware.

Medical ultrasound equipmentTeleop capture → VLA policy → force-controlled execution

Ultrasound Robot · Teleop Capture × Embodied Brain

The physician scans through the robot's hand, and the brain learns the technique. The physician holds a force-feedback leader arm; a 7-axis force-controlled follower arm holds the probe on phantoms and volunteers. Pose comes from the follower's encoders and force from a six-axis wrist sensor, replacing optical motion capture and IMUs. A three-layer brain runs at real cadence: task planning at 1 Hz, VLA policy at 10 Hz, impedance control at 1 kHz, with a safety filter clipping actions outside the model. Demonstration capture → autonomous policy with physician takeover (DAgger) → force-holding co-operation in hospitals; 16 weeks to a rig, 18 months to an L3 validation machine. The page is a live-simulated dynamic technical proposal.

Sync error < 5 ms · leader-follower latency < 8 ms
Contact force hard cap 15 N · passive limit 25 N
π0.5 VLA fine-tune + US-Encoder
DAgger takeover loop
LeRobot dataset 250 / 2,000 / 5,000+ h

Live demo ultrasonic-robot.string2ai.com

06 / Hardware · 2013–2021

Smart Hardware & Consumer Electronics

The Touchjet years: doctoral research in computer vision turned into mass-produced products. Patented touch technology makes any surface and any TV a large, shared Android touchscreen. Validated by two crowdfunding campaigns, sold through Best Buy and Amazon, shipped to 30+ countries.

Consumer electronics · home / business / educationTouch projector · crowdfunded 2014 → launched 2015

Touchjet Pond · Smart Touch Projector

Turns any wall, table or floor into a touchscreen tablet up to 80": 9.4 ounces, built-in battery, Wi-Fi, runs any Android app, with stylus touch and multiple people on one screen. At its core is in-house computer-vision touch technology and a Light Position Unit (LPU) chip delivering 90 ms touch latency against an industry standard of 120 ms. Raised USD 919,453 on Indiegogo in 2014, one of the most successful hardware campaigns of its year; launched in 2015 and recognised with the 2016 Edison Gold Award (Communication & Collaboration), a 2015 CES Innovation Award, TechCrunch's Favorite Things of 2015 and the 2016 BIG Innovation Award.

Computer-vision touch · patented
LPU chip · 90 ms
80" · Android
USD 900K+ crowdfunded
Edison Gold Award

Shipped product touchjet.string2ai.com

Consumer electronics · meeting rooms / K-12 classroomsTV touch module · crowdfunded 2015 → launched 2016

Touchjet WAVE · Turns Any TV into a Touchscreen

An infrared-vision module that clamps on top of any TV or monitor and makes it a smart touchscreen for a few hundred dollars, controlled by finger, stylus or smartphone, running Android apps, whiteboarding, annotation and video conferencing. The 2015 Indiegogo campaign hit its USD 100,000 goal within 24 hours and closed above USD 700,000; retail launch at Best Buy and Amazon in 2016, WAVE Jr. shipped in China through a partnership with Skyworth / Coocaa, and selection by the US education-technology body CUE as a classroom collaboration partner. Followed by WAVE + Lily, a digital-pen edition for enterprise and classrooms up to 65", and the Touchjet Present cloud collaboration service; customers included MIT, Capital One, HP, IBM, Swisscom and several US school districts; finalist in the USD 5 million 43North startup competition in 2018.

Infrared vision · finger / pen / phone
Best Buy · Amazon · Stampede
WAVE + Lily · 65"
Touchjet Present cloud
Skyworth / Coocaa · CUE

Shipped product touchjet.string2ai.com

07 / Enterprise AI · 2021–2026

Enterprise AI Transformation

The Glodon years as the group's AI lead: taking a traditional software vendor's AI from scattered features to an industry LLM, a platform, an agent system and verifiable revenue.

Listed construction-technology software group · RMB 6 billion+ revenueIndustry LLM → industry AI platform → scenario agents

Glodon · AI + Digital Building in Practice

The AecGPT construction-industry LLM (32B parameters, hundreds of millions of tokens of industry knowledge, 97% on the National Constructor Examination) and the industry AI platform, with 100+ construction-specific agents under a three-tier architecture (foundation model → construction-enhanced model → agent system). Three common key-technology breakthroughs: making multi-source heterogeneous data LLM-computable (98%+ table recognition in drawings), a construction mixture-of-experts model (N × 32B experts, a 300M+ token knowledge base) and the AI + DATA double loop. Deployed applications: 716 machine-governed tendering projects in Hainan, evaluation 95% faster and RMB 4.56 billion of public funds saved; AI quantity take-off cutting a RMB 1 billion project from 3 months to 2 weeks; an AI safety PDCA loop with 104 hazard checkpoints. Direct AI revenue grew from RMB 17 million to 100 million+.

AecGPT 32B · N × 32B experts
100+ agents · L0–L2
National LLM registration · MLPS L3
National Key R&D Programme PI
Huaxia Construction S&T Award

Case study glodon.string2ai.com

The full case collection and the methodology essay (the real obstacle to AI adoption and the ontology answer) are at string2ai.com ↗ Industry descriptions are used in place of client names

06 / CredentialsNational R&D, Recognition & Education

National Key R&D Programme leadership, group-level AI governance and regulatory engagement, state-designated talent status, and academic training in Singapore and China.

National R&D leadership & governance

Principal Investigator, Task 2, National Key R&D Programme (14th Five-Year Plan)"Key Technologies for the Construction and Application of Large Models in Building Engineering": RMB 5 million central-government funding within a RMB 54 million programme.
Enterprise AI governance & senior-stakeholder engagementDesigned and operated a group-level AI governance system; led regulatory registration and security certification with the authorities; presents AI strategy and investment roadmaps directly to CEOs and executive decision-making bodies (2026–present).

Credentials & recognition

Huaxia Construction Science and Technology Award, Second Prize (2025)AI-driven machine-governed tendering and bidding

National High-Level Talent Professor-level Senior Engineer Edison Award Gold 2015 CES Innovation Award TechCrunch's Favorite Things of 2015 2016 BIG Innovation Award

Education

Nanyang Technological University, SingaporePh.D. in Pattern Recognition2001 – 2006
Harbin Institute of Technology, ChinaB.Eng. in Industrial Automation1997 – 2001