AI Product & Transformation Lead · Financial Services | Fintech | Applied GenAI

PHILIP CHEUNG

Translates commercial and financial-services problems into prioritised AI use cases, then owns product vision, MVP scope, roadmaps, evaluation and governance through to adoption.

Head of AI at Weidmann & Cie. AG, shaping Qorinix (ultra-low-latency AI inference cloud), LaSpend (read-only AI money assistant over Open Banking) and Fixxmi (Swiss consumer service marketplace).

MSc Computer Science, AI & Data Science (Merit)

Owns AI strategy, use-case prioritisation, product vision and MVP scope through to adoption
Directs delivery through technical contributors and AI-assisted development workflows (AI coding agents)
Financial services depth: corporate finance and M&A, investment analysis, quantitative markets, fintech operations

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Professional Summary

I am an 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.

I translate commercial and financial-services problems into prioritised AI use cases, then own product vision, MVP scope, roadmaps, requirements, evaluation criteria and governance through to adoption.

My 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. I bridge executives, users, domain experts, technical contributors and vendors, and accelerate discovery and delivery through AI-assisted prototyping and coding agents.

I am 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 Product & Transformation

AI strategy, use-case prioritisation, product vision, MVP definition, roadmaps

Product & Delivery Leadership

Discovery, PRDs and user stories, backlog prioritisation, cross-functional delivery

Responsible AI & Governance

Output evaluation, human-review workflows, privacy, auditability, vendor evaluation

Financial Services Domain

Corporate finance and M&A, investment analysis, quantitative markets, fintech operations

AI Solution Fluency

LLM, RAG and agentic patterns, AI-assisted prototyping, evaluation and quality assurance

How I Deliver

Problem-first use cases, smallest slice that proves value, evaluation defined before build, AI coding agents

Notable Achievements

AI Product & Transformation Leadership

Owns AI strategy and a prioritised use-case portfolio across financial-services product lines, presenting strategy and progress to a finance-led management board.

Qorinix Product Direction

Owns 0-to-1 product direction for an ultra-low-latency AI inference cloud targeting sub-200ms TTFT (p50), 100-200+ tokens/sec and sub-10ms cache-hit latency for real-time agents, voice and trading alerts.

Consumer AI Propositions

Shaped LaSpend, a read-only AI money assistant over regulated UK Open Banking that never moves customer money, and Fixxmi, a Swiss marketplace with AI lead matching across 12+ categories.

Responsible AI & Governance

Defined evaluation and governance models: latency, quality and cost benchmarks, provider routing and failover, per-call cost ledgers and human-review workflows where risk requires.

Production ML at Scale

Directed delivery of a real-time ML inference platform that served millions of daily predictions at sub-100ms latency during his Pacific Cloud tenure.

AI-Assisted Delivery Model

Directs delivery through technical contributors and AI-assisted development workflows, using AI coding agents to accelerate discovery, prototyping and build.

Research Foundation

MSc Computer Science, AI & Data Science (Merit). Dissertation applied an AI-assisted three-gate validation workflow that cut strategy development time by 85%.

Commercial Track Record

150% traffic growth at Groupon through an A/B testing and SEO programme, and 25% annual growth leading operations at SoManyCall.

Professional Experience

Head of AI

Weidmann & Cie. AG

London, UK (Hybrid)

Dec 2024 - Present

Responsibilities

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.
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 LaSpend, a read-only AI money assistant over regulated UK Open Banking data: subscription detection, waste scoring and assisted cancellation; it never moves customer money and keeps a human in the loop for all user-triggered actions.
Shaped 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.

Key Outcomes

Commissioned an internal 12-provider inference benchmark to ground model selection, latency and cost decisions.
Set MVP scope, phased delivery, release gates and go-live criteria across the web, control-plane and AI runtime layers.
Leads a cross-functional team of five across development and financial analysis.

Skills & Technologies

AI Product Strategy

Use-Case Prioritisation

MVP Scope

Roadmaps

AI Governance

Evaluation

Open Banking

Applied GenAI

AI-Assisted Delivery

AI Engineer & Technical Architect (AI Transformation & Delivery Leadership)

Pacific Cloud Computing Ltd.

Hong Kong & Remote UK

Dec 2021 - Dec 2024

Responsibilities

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.

Key Outcomes

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.

Skills & Technologies

AI Transformation

Delivery Leadership

RAG

NLP

MLOps

SaaS

Evaluation

Mentoring

Senior Software Engineer

Pacific Cloud Computing Ltd.

Hong Kong

Jan 2015 - Nov 2021

Responsibilities

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.

Key Outcomes

Pioneered the firm's blockchain product initiatives: smart-contract products, NFT marketplace support and DeFi analytics dashboards.

Skills & Technologies

Enterprise SaaS

E-commerce

Payments

Blockchain

SEO

Senior Product Manager (Technical) / Web & Content Manager

Groupon.com

Hong Kong

Apr 2013 - Dec 2014

Responsibilities

Led platform modernisation from a monolithic to a service-oriented architecture as technical product manager, coordinating engineering delivery and business stakeholders.
Ran digital product operations and commercial prioritisation for the marketplace: merchandising, pricing structure and merchant coordination in an Agile environment.

Key Outcomes

Introduced an A/B testing and SEO programme that delivered 150% traffic growth.

Skills & Technologies

Technical Product Management

A/B Testing

SEO

Agile

Marketplace Operations

Senior Operations Manager

SoManyCall Telecom

Hong Kong

Mar 2008 - Apr 2013

Responsibilities

Oversaw strategic and operational delivery for custom software solutions in the telecoms sector.
Led a multi-disciplinary team across the full project lifecycle.

Key Outcomes

Achieved a 25% annual growth rate.

Skills & Technologies

Operations Leadership

Telecoms

Team Leadership

AI Product & Transformation · Portfolio

AI Product Portfolio & Research

Seven products and research programmes Philip shapes and directs: from an ultra-low-latency inference cloud to regulated consumer AI and MSc research.

Expand

Flagship AI

Qorinix, Ultra-Fast AI Inference Cloud

Ultra-low-latency 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. Philip owns 0-to-1 product direction: MVP scope, phased delivery, release gates and go-live criteria, with multi-tier model routing, provider failover, per-call cost ledger and usage-based billing defined in the product's governance model.

Expand

LLM Infra

LLM Arena, 12-Provider Benchmark

Side-by-side real-time benchmark harness across 12 frontier and fast-inference providers: streaming token-by-token output, TTFT p50/p95 analytics, tokens/sec and estimated cost-per-task on a live leaderboard. Commissioned by Philip to ground model selection, latency and cost decisions across the product portfolio.

Expand

Consumer AI

LaSpend, AI Money Assistant

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.

Expand

Consumer AI

Fixxmi, AI Swiss Service Marketplace

Swiss consumer service marketplace with AI-powered intent classification and lead matching across 12+ categories in DE-CH and EN. Pay-per-lead monetisation, GDPR and nFADP compliant data boundaries, and a real-time admin dashboard.

Expand

Governance

Audit-Grade AI Governance Loop

Closed-loop governance applied across every firm AI product: policy check, evidence-pack retrieval, prompt control, model router, action runtime, audit ledger and policy feedback. Every call versioned, costed and replayable, with per-product cost attribution and human-in-the-loop escalation for high-risk cases.

Expand

ML Infra

Low-Latency Inference Mesh

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, cache tiering and multi-region failover, delivered under Philip's direction.

Expand

Research

LLM-Augmented HFT (MSc Research)

MSc research fusing LLM narrative understanding with real-time high-frequency trading microstructure features, with ensemble gating and latency-aware inference scheduling. An AI-assisted development workflow with a three-gate validation framework delivered an 85% reduction in strategy development time.

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