Fazz

AI engineer with 4+ years building production AI systems in financial services, 10+ years in financial technology overall. Specialist in LLMs, agentic AI, Retrieval-Augmented Generation (RAG), and enterprise AI integration. Contributor to open-source LLM research (EleutherAI / GPT-NeoX). Investment banking background provides domain expertise for high-stakes, regulated AI deployment. Builds systems that ship, not prototypes.

Founder & AI/ML Engineer at Structric (2024-10 – Present)

• Built Structric as a computational real estate feasibility and development-optimisation platform; translates complex planning regimes (SB9, ADU, SB79) into machine-executable constraint lattices for automated zoning compliance and parcel envelope modelling
• Designed stochastic development-state architecture using Markov decision processes, forward-search with Monte Carlo rollouts, upper-bound pruning, and multi-site capital allocation; integrates financing, leverage, covenant, absorption, and market-regime dynamics into unified FDV and risk analysis
• Applied convex and quadratic optimisation to parcel envelope feasibility; developed proprietary volumetric metrics — Geometric Alpha, Vertical Slack, Latent Cubic Potential — to quantify development optionality across portfolios
• Engineered geospatial and regulatory data pipelines: deterministic normalisation of heterogeneous municipal permit data, temporal/geographic rule patching, Postgres/DuckDB-backed analytical infrastructure
• Stack: Python, C++, Rust, GPU-accelerated simulation, Postgres, DuckDB

Team Lead, AI & LLM Initiatives (Equity Swaps) at Jefferies Group (2020-08 – 2024-10)

• Led AI strategy and implementation across Jefferies' equity swaps division
• Built and deployed production NLP pipelines using spaCy and OpenAI API for entity extraction across trade, risk, and counterparty data
• Designed Neo4j knowledge graphs unifying swaps, financing agreements, and counterparty information — enabling regulatory and systemic risk detection
• Developed GraphQL pipelines ingesting live Outlook and Teams data, cross-referencing front office communications with trade and collateral movements
• Created AI-powered financial intelligence dashboards for regulatory and risk compliance
• Scheduled speaker at Jefferies '24 Tech Expo on algorithmic trading execution history

Open Source AI Researcher (LLMs) at EleutherAI (2020-08 – 2021-06)

• Contributed to GPT-NeoX 6B and GPT-2/GPT-3 replica development as part of the leading open-source LLM research group
• Enhanced Python-based testing frameworks and contributed modules to the lm-evaluation-harness for dataset evaluation
• Production experience with TPU v2-8 and v3-8 VMs via TensorFlow Research Cloud; TensorFlow, PyTorch, DeepSpeed, CUDA 11

Full Stack Developer (DLT / Trade Finance) at Trade IX (2019-08 – 2020-02)

• Built enterprise DLT applications for trade finance on R3's Corda blockchain
• Trade IX builds the Marco Polo trade finance system, partnering with Standard Chartered, AIG, and multiple international banks

Blockchain/DLT Consultant & Developer at STRATIS Blockchain (2018-04 – 2019-07)

• Contributed to Bitcoin-based UTXO blockchain development in C# on.NET Core
• Built smart contracts, DeFi research tools, and transaction load testing frameworks
• Speaker — Amsterdam Blockchain Expo, London Stablecoin Trade Event, Malta Blockchain Summit

VP, Lead.NET Credit Trading Tools Developer at Credit Suisse (2014-04 – 2018-03)

• Led front-office technology for credit trading desks: risk, pricing, P&L analytics
• Team lead and line manager for London front-office development
• Built derivatives pricing tools, volatility models, and collateral management systems
• Delivered desk-level.NET VSTO/WPF applications and ETL packages (SSIS) for trader support

MPhil (Hons) in Economics and Finance – University of Auckland

BA (Hons) in Economics – University of Auckland