CV

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Experience

Data Scientist, Actelligent Capital

London, UK · Feb 2025 – Present

Built and owned the data pipelines behind the firm's research and client reporting: automated FactSet ingestion into AWS S3 for up to 100,000 securities across 20 internal projects, refreshed up to three times daily to capture each region's market close.
Delivered the backend for a client-facing financial AI chatbot that lets clients query the firm's financial metrics in plain English, with prompt design focused on readable rather than raw answers; also built a website translation and sentiment analysis pipeline.
Built the metrics layer behind the reporting, computing around 50 financial metrics, and a report generator that replaced reports previously assembled by hand.
Built a daily fund position calculator that produces in around 30 minutes figures the firm previously saw only in a monthly third-party audit.
Owned deployment, reliability and code quality in production; wrote Terraform scripts that can rebuild the firm's AWS infrastructure (EKS) from code, and set up Prometheus and Grafana for monitoring and error detection.

Research Intern, NLP Lab, VISTEC

Rayong, Thailand · 2024

Built an evaluation harness for multiple-choice benchmarks across four open-weight models, including BERT and Llama 3, scoring accuracy, precision, recall and F1 with vLLM on shared GPU clusters under SLURM.
Fine-tuned multilingual models for sentiment analysis and caption generation.

Education

Master of Engineering (MEng) in Engineering Science, 2:1 (Second Class, Division One)

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. Trained multi-agent reinforcement learning agents on GPU with JaxMARL and benchmarked them against a linear-programming optimum.
Relevant coursework: machine learning, deep learning, machine vision and robotics, information engineering systems, engineering computation, software engineering, energy systems.
Collington Prize (Wadham College) for the best first-year examination performance; College Scholarship awarded in all four years.

Projects

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, running on a small server cluster I build and manage as code.

Skills

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

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

Cloud & tools: AWS, Azure, Kubernetes, Terraform, Ansible, Helm, Docker, Prometheus, Grafana, Git, CI/CD

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