📍 London, UK  |  📫 [email protected]  |  📱 +44 07587 120110

I'm a Machine Learning graduate (Distinction) from Queen Mary University of London with a strong foundation in quantitative finance, LLM engineering, and high-performance C++ systems. I'm actively targeting Quant Engineer / ML Engineer roles at Machine Leaning and Quantitative field with development and research heavy role.

My work spans end-to-end ML pipelines (RAG, fine-tuning, MLOps), stochastic calculus and derivatives pricing, and low-latency systems design — bridging the gap between theoretical rigor and production-grade engineering.

Production MLOps · RAG Pipelines · ZenML · Qdrant

Engineered a full LLM Twin that learns writing styles from digital content to answer questions in someone's authentic voice. Built on the Feature-Training-Inference (FTI) pipeline architecture.

• Designed advanced RAG pipeline with hybrid search (BM25 + vector), reranking, and query expansion over Qdrant vector database
• Orchestrated end-to-end training and inference pipelines with ZenML and experiment tracking via Comet ML
• Implemented supervised fine-tuning with LoRA/QLoRA and DPO preference alignment

C++ · Lock-Free Data Structures · SIMD Optimisation · Low-Latency

Building a production-grade order book matching engine targeting sub-microsecond latency:

• Lock-free queue implementation using C++ atomics and memory ordering guarantees
• SIMD-optimised price comparison routines for L1/L2 order book updates
• Benchmarked against industry-standard engines; targeting < 1μs matching latency

GCP · MLOps · Time Series · Python

Designed a production MLOps portfolio project for UK AI market, forecasting energy demand using ensemble ML models on GCP's free tier with full CI/CD pipelines.

RAG · Vision Models · GCP · FastAPI

Architected a multimodal document intelligence system combining vision encoders and RAG pipelines for intelligent document Q&A, engineered for the UK AI job market.

TensorFlow · Stochastic Models · Python

Built a quantitative trading research platform integrating ML forecasting with derivatives pricing theory (Black-Scholes, binomial trees, Monte Carlo with variance reduction).

Options Pricing       │ Black-Scholes (PDE + risk-neutral), Binomial Trees, Monte Carlo
Greeks                │ Δ Γ Θ V ρ — computation, hedging, second-order (Vanna, Volga, Charm)
Stochastic Calculus   │ Itô's Lemma, GBM, Girsanov Theorem, Feynman-Kac, Martingale Theory
Risk Management       │ VaR (historical, parametric, MC), Expected Shortfall, CVaR
Market Microstructure │ Order Book Dynamics, Avellaneda-Stoikov, Almgren-Chriss Execution
SDEs                  │ GBM, Ornstein-Uhlenbeck, CIR, Heston Stochastic Volatility
Fixed Income          │ Bond Pricing, Duration, Convexity, Yield Curve Bootstrapping

Languages C++ Python Java SQL Bash JavaScript

ML / AI PyTorch TensorFlow scikit-learn Transformers LoRA QLoRA DPO

LLM & RAG LangChain LlamaIndex Qdrant ChromaDB vLLM FastAPI ZenML Comet ML

Cloud & DevOps AWS GCP Docker Kubernetes CI/CD GitHub Actions

Quant / Finance NumPy Pandas SciPy QuantLib Monte Carlo Stochastic Calculus

Performance Engineering Lock-Free Data Structures SIMD Memory Optimisation Low-Latency C++

• Machine Learning Engineer — Gaston AI, London, UK (Present)

  UK FoodTech AI startup building nutrigenomics-based personalised food recommendations using biomarkers, genomic profiling, and ML models. Developing and deploying AI/ML systems powering hyper-personalised nutrition recommendations across B2B SaaS integrations with restaurants, grocery platforms, and health providers.

• Software Development Intern — IT ELEGENT, London (July 2025–Present)

• Teaching Assistant (DSA) — Stealth Startup (Sept 2023–Jan 2024)

• Teaching Assistant (System Design) — Coding Ninjas (March–Aug 2023)

• Software Backend Developer — Lets-Transport (Sept 2022–Dec 2023)

• AlgoExpert (2023)
• Sequence Models — Coursera / DeepLearning.AI (2025)
• Neural Networks and Deep Learning — Coursera / DeepLearning.AI (2025)

Actively seeking Quant Engineer / ML Engineer roles in London · Open to relocation across the UK