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Senior Analyst (Data Science & Simulation Engineer)

AiQ Consulting

Technical lead for next-generation airport simulation platform, responsible for architecture, backend, frontend, and DevOps.

• Led development of integrated airport simulation replacing unstable legacy tooling; stack: Python, Django, React, CesiumJS, Docker, GCP.
• Built CI/CD pipelines (GitHub Actions) and observability stack (Grafana, Prometheus, Sentry).
• Introduced Dagster-based data pipelines for company-wide data lake; improved project data reuse and reduced per-project setup time by days.
• Mentored two junior engineers from data backgrounds to full-stack developers, reducing key-person risk.
• Technical lead on £180k Heathrow optimization project: developed and presented actionable & evidence-based recommendations reducing Polars, DuckDB, Dagster.

Researcher / PhD Candidate

University of Southampton

Research in UAS operational risk analysis and airspace simulation, combining probabilistic modeling, HPC simulation, and real-world data integration.

• Developed probabilistic and agent-based UAS risk models using Monte Carlo and rare-event simulation. Productionized into full stack web app and used in flight trials.
• Architected 500k-records/day pipeline for novel sensor data (cameras, radars, passive RF) with 99 % uptime (Kafka, Docker, Go, TimescaleDB, Grafana) for DfT Innovation project.
• Developed high-performance C++ risk and deconfliction libraries with Python bindings (Eigen, GEOS, OpenMP). Integrated into web app for field trials.
• Led development of multi-objective logistics optimization system combining research from multiple universities into deployed web app (Flask, React, Gurobi, ipopt).
• Automated classification of 60 k medical-goods PDFs via web-scraping + Gemini/Vertex AI, leading to follow on grant funding.

Machine Learning Intern

Tekever

Developed ML models for maritime surveillance UAVs.

• Enabled autonomous monitoring of 10x larger maritime areas through ML trajectory prediction and anomaly detection of ship movements.
• Integrated ML models into UAV GCS systems for field deployment in bandwidth-limited environments.

PhD

University of Southampton

Computational Engineering

BEng

University of Southampton

Aerospace Engineering