I build scalable and intelligent data systems, that turn messy data into reliable and actionable insights.
Data Engineer I — NEXT Ventures 2026 – Present
Supporting AWS cloud migrations and building AI integration pipelines.
Undergraduate Researcher — Elder Laboratory, York University 2023 – 2025
Developed generative models to create synthetic datasets of animate and inanimate shapes for use in studying human psychophysics, non-human primate physiology and other computer vision applications.
MTECH Data Engineer Co-op — Sanofi 2021 – 2022
Built robust vaccine batch genealogy monitoring pipeline. Improved pipeline observability with structured logging, retries, and alerting. Audited and fixed critical SQL aggregation logic errors to restore dashboard accuracy, and replaced manual Excel workflows with pipelines & dashboard powered by AWS Athena, PySpark, Pandas and Power BI.
| Project | Description |
|---|---|
| Pople | Distributed job scheduler and monitoring system for the ORCA quantum chemistry tool (in progress) |
| Bangladesh Inflation Monitor | A data pipeline and dashbaord tracking Bangladesh's economic indicators |
| Rubiksolver | Computer vision system that solves a Rubik's cube in real time |
| Shape Generation via MCMC | Research project on Markov Chain Monte Carlo methods for generating naturalistic shapes |
Languages
Backend & APIs
Data Engineering
Frontend & BI
"All that is gold does not glitter, not all those who wander are lost." — J.R.R. Tolkien