Jay Zeng
Engineering leader — software delivery, data platforms & AI transformation
Shanghai · Hong Kong | jay.zeng@hotmail.com
Senior engineering leader with 15+ years spanning regulated financial services, healthcare, and platform engineering. As VP at crypto.com — a global financial platform serving 100M+ users — led multiple scrum teams across six locations: shipped 0-to-1 production platforms including a regulated tokenized-securities (RWA) business taken from architecture through regulatory review to production, built AI-powered applications on the group's internal AI gateway, and drove AI-assisted software development to 100% adoption — operating-model change, not tool rollout — with guardrails for model evaluation, cost governance, and code ownership. Previously Delivery Lead for Standard Chartered China's retail banking, delivering the bank's first containerized application for compliance workflows. Brings delivery and people leadership together with end-to-end experience in AI-driven engineering transformation.
Open to Senior engineering leadership roles — Senior Engineering Manager / Head of Engineering / Head of Data & AI / Director of Software Engineering (AI-enabled delivery) — in financial services, and in other industries driving engineering AI transformation.
crypto.com
Nov 2020 – Jul 2026 · 5.5 yrsVP / Engineering Lead — Shanghai
Global financial platform serving 100M+ users; fully licensed and regulated across multiple jurisdictions
- Led multiple scrum teams across six locations — AI-platform, RWA & digital-asset, and market-data delivery. Owned headcount planning, performance management & calibration, pay/reward, and budgets
- Drove AI-assisted software development to 100% adoption across the engineering organization — 12+ months of tooling rollout (Claude Code, Cursor, Augment) within the group's org-wide AI-SDLC (AIDLC) transformation, with guardrails for model evaluation, cost governance, and code ownership
- Led the team that built AI-powered applications on the group's internal AI gateway — including Augur, an LLM + RAG market-intelligence platform co-created with the crypto.com Capital team, serving investment research, CRM client engagement, and the US-equity RWA business
- Established the tokenized-securities (RWA) business 0-to-1 — full lifecycle from architecture through regulatory review to production, alongside real-time market-data platforms and finance digital transformation — automated daily client-transaction accounting and treasury reporting
- Managed market-data vendor relationships (ICE, CoinGecko, CoinMarketCap)
Augur — LLM Market Intelligence
Cross-team AI innovation co-created with the crypto.com Capital team — the opportunity identified in-house, not from a given spec. A 5-minute news pipeline on the group's AI gateway (model usage control and cost monitoring, AWS Bedrock) classifies items by event type and materiality, with a deterministic scoring framework routing critical news into a real-time signal queue; daily RAG synthesis produces retail-ready narratives and sector outlooks for Capital's investment research, CRM's client push, and the newly launched US-equity RWA offering — with on-platform prompt tuning and side-by-side model-output comparison.
Cross-team AI innovation co-created with the crypto.com Capital team — the opportunity identified in-house, not from a given spec. A 5-minute news pipeline on the group's AI gateway (model usage control and cost monitoring, AWS Bedrock) classifies items by event type and materiality, with a deterministic scoring framework routing critical news into a real-time signal queue; daily RAG synthesis produces retail-ready narratives and sector outlooks for Capital's investment research, CRM's client push, and the newly launched US-equity RWA offering — with on-platform prompt tuning and side-by-side model-output comparison.
Citadelle — Autonomous AI Agent System
AI innovation across the full autonomy stack — an end-to-end autonomous on-chain capital-allocation system: a 15-step multi-agent pipeline (LangGraph) running the complete investment loop from opportunity discovery and Bull/Bear/Judge multi-LLM adversarial debate to quantitative optimization and pre-flight-simulated execution. Every LLM decision is wrapped in deterministic, fail-closed controls — an 8-layer control firewall, scenario-and-rubric eval harnesses with nightly LLM evaluation, degradation that never defaults to approval, human-in-the-loop gates replaying immutable route bundles, and KMS signing isolated behind a dedicated service — a working blueprint for adopting autonomous AI agents, with shadow mode enabling staged autonomy without live execution.
AI innovation across the full autonomy stack — an end-to-end autonomous on-chain capital-allocation system: a 15-step multi-agent pipeline (LangGraph) running the complete investment loop from opportunity discovery and Bull/Bear/Judge multi-LLM adversarial debate to quantitative optimization and pre-flight-simulated execution. Every LLM decision is wrapped in deterministic, fail-closed controls — an 8-layer control firewall, scenario-and-rubric eval harnesses with nightly LLM evaluation, degradation that never defaults to approval, human-in-the-loop gates replaying immutable route bundles, and KMS signing isolated behind a dedicated service — a working blueprint for adopting autonomous AI agents, with shadow mode enabling staged autonomy without live execution.
AI-Assisted Engineering Adoption
Rolled out AI-assisted development (Claude Code, Cursor, Augment) to 100% of the engineering organization. Established guardrails for model evaluation, cost governance, and code-ownership review — countering over-reliance risks where reduced code familiarity introduced defects. Cycle-time gains gated by compliance review, not engineering throughput.
Rolled out AI-assisted development (Claude Code, Cursor, Augment) to 100% of the engineering organization. Established guardrails for model evaluation, cost governance, and code-ownership review — countering over-reliance risks where reduced code familiarity introduced defects. Cycle-time gains gated by compliance review, not engineering throughput.
Regulated Tokenized Securities (RWA) Platform
0-to-1 platform for 1,500+ US equities, serving the crypto.com App's 100M+ registered users. Led the team that owned the full stack — on-chain tokenization, equity market data, and the App-facing APIs and services. Owned the full lifecycle from architecture through regulatory review to production.
0-to-1 platform for 1,500+ US equities, serving the crypto.com App's 100M+ registered users. Led the team that owned the full stack — on-chain tokenization, equity market data, and the App-facing APIs and services. Owned the full lifecycle from architecture through regulatory review to production.
ICE US Equity Market Data
Real-time market-data platform processing SIP/BQT/BRUCE feeds across all ICE formats with sub-millisecond latency — powering equity, perpetual-contract, and tokenized-stock trading. 0-to-1.
Real-time market-data platform processing SIP/BQT/BRUCE feeds across all ICE formats with sub-millisecond latency — powering equity, perpetual-contract, and tokenized-stock trading. 0-to-1.
Unified Market-Data Platform
Real-time platform aggregating exchange prices, on-chain data, social sentiment, and news into a single source of truth for pricing and asset metadata — powering the crypto.com App. 0-to-1.
Real-time platform aggregating exchange prices, on-chain data, social sentiment, and news into a single source of truth for pricing and asset metadata — powering the crypto.com App. 0-to-1.
Standard Chartered
Jan 2019 – Nov 2020 · 2 yrsDelivery Lead, Retail Banking — China (Shanghai)
- Led delivery of RB CDD Review — Standard Chartered China's first containerized application, digitizing retail-banking compliance (KYC/CDD review) workflows — in partnership with the China country technology management team and the CDD team
- Owned SCB China's retail-banking delivery portfolio, managing multiple delivery teams across Shanghai and Tianjin (BAU, new initiatives, platform integration)
- Initiated the Shanghai API Banking engineering team build-out — stood up hiring and knowledge transfer from the Singapore core team
- Led partnership and vendor evaluation with Alipay, Ctrip Finance, and JD Finance — scoped product-listing feasibility and integration architecture for SCB retail products on third-party platforms (paused due to regulatory change)
AGFA Healthcare
Jun 2010 – Dec 2018 · 8.5 yrsTeam Lead & Technical Development Manager — Shanghai
- Led one of four scrum teams at AGFA's Shanghai R&D site, and served as site technical manager — the technical bridge to global R&D hubs in Waterloo, Ghent, and Vienna, jointly driving the evolution of the Enterprise Imaging Platform
- Led the team that delivered the platform's rule engine (Drools) and enterprise image-transfer capabilities — powering rule-directed clinical workflows, image routing and prefetching, report distribution, and storage-lifecycle management
- Full-stack engineering leadership for the Enterprise Imaging Platform — large-scale medical imaging with distributed hub-proxy architecture and high-availability deployment; domain depth across DICOM, HL7, IHE, FHIR
- Drove DevOps adoption across the Shanghai site — established CI/CD pipelines, regression testing workflows, and release management practices
Technical Stack
Engineering Leadership: people management (multi-team multi-site org), performance & calibration, budget management, market-data vendor relationships, governance, risk & regulatory delivery
Cloud & Infra: AWS (EKS/Kubernetes, KMS), CI/CD, DevSecOps, containerization
AI / Agents: LLM pipelines & multi-model agents, multi-agent orchestration (LangGraph), RAG (embeddings + Postgres pgvector), LLM evaluation & routing, human-in-the-loop control design, AI governance (fail-closed controls), AI coding tools (Claude Code, Cursor, Augment)
Languages: TypeScript, Python, Go, Java
Domains: retail & institutional banking delivery, capital-markets data infrastructure, real-time market data, clinical imaging platforms (DICOM/HL7/FHIR), regulated digital-asset infrastructure (RWA tokenization)
Earlier Career
IWT Solutions — Consultant, Hong Kong (2009–2010): Led design and development of Internet Booking Engine for flight ticket search and fare management. Client-facing role with customers in Malaysia.
Perficient, Inc. — Sr. IT Consultant, United States (2005–2008): Led development teams on BPM-based medical equipment order processing (Apria Healthcare) and inventory control application (Rent-A-Center).
Education
MSc in Information Technology — Hong Kong University of Science and Technology (HKUST), Hong Kong SAR, 2008–2009
BEng in Software Engineering — Zhejiang University of Technology, Hangzhou, 2001–2005
Selected Writing
Published writing at jay.obolai.hk/writing on AI transformation, AI leadership, AI model economics, and regulated digital-asset infrastructure.