CV

Experience

London, UK · Feb 2025 – Present

Built and owned the data pipelines behind the firm's research and client reporting: automated FactSet retrieval into AWS S3 covering up to 100,000 securities across 20 internal projects, refreshed up to 3x daily to catch each region's market close.
Delivered the backend for a client-facing financial AI chatbot, letting clients query the firm's financial metrics in plain English, plus a website translation and sentiment analysis pipeline.
Built the metric layer behind the reporting, computing around 50 financial metrics, and the report generator that replaced reports previously assembled by hand.
Built a daily fund position calculator producing in around 30 minutes the figures the firm had previously seen only in a monthly third-party audit.
Owned deployment, reliability and code quality across these applications in production.

Rayong, Thailand · 2024

Designed evaluation pipelines for multiple-choice datasets using BERT, Llama 3 and VLLM.
Operated remotely on GPU clusters with SLURM job scheduling.
Fine-tuned multilingual models for sentiment analysis and caption generation.

University of Oxford · 2021 – 2025

Master's thesis: “Power System Optimisation using Linear Programming and Multi-Agent Reinforcement Learning with GPU Framework”, supervised by Prof. Thomas Morstyn and Prof. Jakob Foerster.
Relevant coursework: machine learning, deep learning, machine vision and robotics, information engineering systems, engineering computation, software engineering, energy systems.
Collington Prize, Wadham College, for best performance in first-year examinations.
College Scholarship, awarded in each of the four years of the degree.

LeWell — A health habit app for iPhone and Android, built end to end and shipped to both app stores.

Wedding Website — A guest-lookup website built for a private client's wedding.

ley-khaa — An AI assistant that turns a messy conversation into one clear, finished job.

Languages: Python, JavaScript/TypeScript, React, SQL, C++, Java, Shell

Engineering: Full-stack development, REST APIs, PostgreSQL, Microservices

Cloud & tools: AWS, Azure, Docker, Git, CI/CD

ML & NLP: PyTorch, TensorFlow, LLM fine-tuning, NLP