Professional Summary
AI Product and Transformation Lead with more than 10 years across financial services, fintech, quantitative markets and digital platforms, currently Head of AI at a Swiss corporate finance advisory firm. Translates commercial and financial-services problems into prioritised AI use cases, then owns product vision, MVP scope, roadmaps, requirements, evaluation criteria and governance through to adoption. The current portfolio spans an ultra-low-latency AI inference cloud (Qorinix), a read-only AI money assistant over Open Banking (LaSpend), a Swiss consumer marketplace (Fixxmi) and an AI-native trading desk. Bridges executives, users, domain experts, technical contributors and vendors, and accelerates discovery and delivery through AI-assisted prototyping and coding agents. Comfortable deep in the technical detail, from LLM, RAG and agentic patterns to inference latency and cost trade-offs, evaluation harnesses and cloud delivery: able to shape requirements, evaluate outputs and direct governed delivery with confidence. MSc Computer Science, AI and Data Science (Merit).
Core Capabilities
- AI strategy and use-case prioritisation
- Product vision, MVP definition and roadmaps
- Business cases, value hypotheses and adoption planning
- Transformation operating models
- Product discovery and user needs
- Requirements, PRDs, user stories and acceptance criteria
- Backlog and release prioritisation
- Cross-functional delivery coordination
- Stakeholder and executive communication
- Output and model evaluation
- Human-review workflows
- Data, privacy, auditability and risk considerations
- Provider and vendor evaluation
- Quality, cost and operational controls
- Corporate finance and M&A workflows
- Investment analysis
- Quantitative markets and trading
- Fintech operations
- Risk, compliance and regulated processes
- LLM and RAG concepts
- Agentic and workflow-based AI
- API, data integration and cloud-delivery concepts
- AI-assisted prototyping
- Evaluation and quality assurance
- Problem-first use-case selection
- Smallest product slice that proves value
- Evaluation criteria defined before build
- AI-assisted prototyping and coding agents
- Quality, cost and latency governed from day one
Professional Experience
Head of AI
Swiss corporate finance advisory firm (M&A and growth advisory) building an applied-AI product portfolio: Qorinix (ultra-low-latency AI inference cloud), LaSpend (read-only AI money assistant over Open Banking), Fixxmi (Swiss consumer marketplace), pricing and insurance comparison workflows, and an AI-native trading desk.
- Owns the firm's AI strategy and use-case portfolio across its product lines, prioritising investment against commercial value, risk and regulatory constraints; presents strategy and progress to a finance-led management board
- Owns 0-to-1 product direction for Qorinix, the firm's ultra-low-latency AI inference cloud targeting sub-200ms time-to-first-token (p50), 100-200+ tokens per second and sub-10ms cache-hit latency for latency-sensitive workloads such as real-time agents, voice and trading alerts: MVP scope, phased delivery, release gates and go-live criteria across the web, control-plane and AI runtime layers
- Defined the platform's evaluation and governance model: latency, quality and cost benchmarks, provider routing and failover, per-call cost ledger, usage-based billing and entitlements, with human-review workflows where risk requires
- Shaped consumer-facing propositions: LaSpend, a read-only AI money assistant over regulated Open Banking data (subscription detection, waste scoring and assisted cancellation, never moving customer money, human-in-the-loop for user-triggered actions), and Fixxmi AI lead matching across 12+ service categories (DE-CH/EN) within GDPR and nFADP boundaries
- Translates business, operational and regulatory requirements into executable platform plans with senior stakeholders, and directs delivery through technical contributors and AI-assisted development workflows
- Commissioned an internal 12-provider inference benchmark to ground model selection, latency and cost decisions; leads a cross-functional team of five across development and financial analysis
AI Engineer & Technical Architect (AI Transformation & Delivery Leadership)
Promoted internally from Senior Software Engineer to lead the firm's AI transformation across SaaS, analytics and market-intelligence products.
- Defined and prioritised the firm's AI use-case portfolio and adoption roadmap, moving AI from experiments into production capabilities; oversaw the launch of three multi-tenant SaaS platforms with subscription management, usage analytics and automated billing
- Directed delivery of the firm's real-time ML inference capability, a platform that served millions of daily predictions at sub-100ms latency; set requirements, acceptance criteria and evaluation gates
- Shaped the firm's enterprise retrieval (RAG) and market-intelligence NLP capabilities, defining evaluation methodology and quality expectations for domain-specific queries
- Oversaw the model-improvement cycle (retraining, A/B testing and monitoring) and provider selection across the ML estate
- Established AI/ML working practices, ran architecture reviews and mentored an agile development team of 8 engineers
- Guided quantitative-markets decision support: cross-asset anomaly detection and price-forecasting research feeding trading workflows
Senior Software Engineer
- Delivered an enterprise document management SaaS with real-time collaboration for corporate clients
- Delivered e-commerce platform capabilities including multi-currency and crypto-enabled payments; the SEO programme achieved top search rankings
- Pioneered the firm's blockchain product initiatives: smart-contract products, NFT marketplace support and DeFi analytics dashboards
Senior Product Manager (Technical) / Web & Content Manager
- Led platform modernisation from a monolithic to a service-oriented architecture as technical product manager, coordinating engineering delivery and business stakeholders
- Introduced an A/B testing and SEO programme that delivered 150% traffic growth
- Ran digital product operations and commercial prioritisation for the marketplace: merchandising, pricing structure and merchant coordination in an Agile environment
Senior Operations Manager
- Oversaw strategic and operational delivery for custom software solutions in the telecoms sector, achieving a 25% annual growth rate
- Led a multi-disciplinary team across the full project lifecycle
Core Technical Competencies
Research & Selected Projects
High-speed AI inference cloud for latency-sensitive workloads: real-time agents, voice assistants, trading alerts and conversational AI. Targets sub-200ms TTFT (p50), 100-200+ tokens/sec and sub-10ms cache-hit latency at a fraction of frontier-API cost; internal benchmark targets place it 4-12x faster than leading low-cost providers and 6-12x faster than frontier APIs. Multi-tier model router with provider failover, streaming SSE, per-call cost ledger, usage-based billing and entitlements. Stack: Python, FastAPI, PostgreSQL, Redis, LLM Router, Stripe entitlements, OpenTelemetry.
Side-by-side real-time benchmark harness across 12 frontier and fast-inference providers. Streaming token-by-token with live leaderboard, TTFT p50/p95 analytics, tokens/sec, estimated cost-per-task and service-tier selectors. Per-provider model picker, run-count (1-20) for statistical stability and quick TTFT-turbo profiles. Next.js 14, TypeScript, server-side API isolation, streaming-SSE.
Read-only AI money assistant over regulated UK Open Banking: subscription detection, recurring-spend dashboard, waste scoring and assisted cancellation with verified action receipts. Never moves customer money; human-in-the-loop for all user-triggered actions; PII-minimised inputs and deterministic fallback when models fail. Cloudflare Pages + Functions + D1 architecture, React 19 + Vite + Tailwind frontend.
Swiss-first B2C service-job lead marketplace with AI-powered intent classification and lead matching across 12+ categories in DE-CH / EN. Pay-per-lead monetisation with Stripe Credit Packs, nFADP / GDPR-compliant data boundaries, Firestore-backed real-time admin dashboard. Next.js 15 static export + Firebase Cloud Functions (Node 20) + Firestore europe-west6.
Closed-loop flow applied across every firm AI product: policy check, evidence-pack retrieval, prompt control, model router, action runtime, audit ledger, policy feedback. Every call versioned, costed, support-traceable and replayable. Content-addressed evidence packs, per-product cost attribution, human-in-the-loop escalation for high-risk cases.
Distributed ML inference pipeline serving hundreds of predictions per day at <200ms TTFT across classification, sentiment, affordability scoring and anomaly detection. Shard-aware routing, warm-pool autoscaling, ONNX-compiled models with fp16 quantisation, cache-through Redis tiering, multi-region active-active with health-weighted failover. FastAPI, Redis, TimescaleDB, Triton.
Novel architecture fusing LLM narrative understanding with real-time HFT. Custom transformer with attention heads over microstructure features, ensemble gating and latency-aware inference scheduling that down-routes heavy heads on tight time budgets. AI-assisted development workflow with a three-gate validation framework delivered an 85% reduction in strategy development time. Python, PyTorch, CCXT, Ray Serve, Triton.
Education
Modules: Deep Machine Learning, Intelligent Agents, Data Science & Mining, Applying AI, Cloud Computing, Research Methods
Selected Certifications
Full UK right to work | Based near London (Reading) | Hybrid or remote | Languages: English, Cantonese, Mandarin