Professional Experience
Research Collaborator (Joint work with University of Southampton) Harvard Health System Innovation Lab | Harvard University | Boston, USA | Nov 2024 - Present
- Dramatically reduced human labelling effort by over 40% by leading the development of an LLM-powered data annotation pipeline. This system processed and classified a 200,000-record dataset for the health research investment analysis project for the Lancet Oncology Commission, achieving a 93% human-machine agreement rate. [1]
Research Assistant School of Electronics and Computer Science | University of Southampton | Southampton, UK | June 2024 - Present
- Achieved top ranking in the Concordia Contest 2024 by designing and presenting novel LLM agent architecture for cooperative multi-agent interaction and autonomous decision-making. [2]
- Conducted Human-AI Interaction research on designing trustworthy AI systems, with a focus on explainability, AI ethics, governance, and public engagement. [3]
Data Science Intern Stellar Fusion | London, UK | Aug 2023 - Oct 2023
- Accelerated data readiness and ensured data integrity by developing a robust SQL and Python pipeline to ingest, clean, and structure diverse financial metrics from SEC filings and MongoDB company data.
- Enabled faster, data-driven investment decisions by automating report analysis using unsupervised Machine Learning (K-Means clustering) and Natural Language Processing (NLP).
Data Science Consultant London Stock Exchange Group | London, UK | May 2022 - Jul 2023
- Significantly enhanced trading system operational efficiency by leading the Operational Readiness Centre project. This initiative reduced critical incident detection time by 30% through the development of automated, real-time market health monitoring pipelines using AWS (S3, Glue, SageMaker) and delivering actionable insights via PowerBI.
Education
Integrated Master’s Degree with Honours (2:1) University of Warwick | Coventry, UK | Oct 2017 - Jul 2021
- Course: Master of Mathematics, Operational Research, Statistics, and Economics (MMORSE) (Actuarial and Financial Mathematics Stream)
- Modules: Mathematical Statistics, Programming for Data Science, Topics in Data Science, Statistical Learning and Big Data, Designed Experiments with Advanced Topics, Finance & Financial Reporting, Quantitative Economics
- Dissertation: Modeling of Systemic Risk (72%), Analysed the role of financial networks in systemic stability and shock propagation.
Cooperative AI Summer School 2025 Cooperative AI Foundation | Marlow, UK | Jul 2025
- Selected for this intensive program on AI safety and multi-agent systems (MAS). Developed key metrics and novel methods for evaluating the exploitability of AI agents.
Skills
Programming: SQL, Python, R • Database: ElasticSearch, MongoDB, Snowflake, ServiceNow • Cloud Computing: Amazon Web Services (AWS), S3, Glue, SageMaker • Data Visualisation: PowerBI, Kibana, Tableau, QuickSight • Machine Learning (ML): scikit-learn, TensorFlow, PyTorch • Natural Language Processing (NLP) • Large Language Models (LLMs): OpenAI API, HuggingFace, open-source models, model fine-tuning • Multi-Agent Systems (MAS): retrieval-augmented generation (RAG), LangChain • Version Control: Git, Bitbucket • Project Management: Jira, Confluence, Notion • A/B Test
Publications
[1] Public and philanthropic research funding, publications, and research networks for cancer in the Commonwealth and globally between 2016 and 2023: a comparative analysis, The Lancet Oncology 26(9), 466-476 (2025) [2] Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia, Accepted at NeurIPS Datasets and Benchmarks Track (2025) [3] Anticipating Opportunities and Threats in Participatory Agentic Design, Under review at ACM CHI Conference on Human-Computer Interaction (CHI)
💡 I have right to work in the UK. I will not require sponsorship for employment visa status now or in the future.