Experience

From research labs to classrooms, I build systems, explore questions, and help others find their footing in technology.

Data & Research Engineer · iHARP Fellow

University of Maryland, Baltimore County

Architected and shipped a FastAPI geospatial platform for international research teams, integrating GCP object storage, ArcGIS basemaps, and a SQLite workflow layer. Built satellite-data ingestion and export pipelines with annotation tracking and QC review, plus Power BI semantic models and dashboards for the UNDP-aligned Nature Relationship Index.

Machine Learning & Data Engineer

GWU HIVE Lab (Mazumder Lab) · Remote

Built extraction and harmonization pipelines for public multi-omics and PMID-sourced datasets, producing modeling-ready feature tables with automated QC. Containerized analysis workflows with Docker and documented them as BioCompute Objects for FAIR-compliant reproducibility and lab reuse.

Graduate Researcher · M.S. Thesis

UMBC · Advisor: Prof. Karen Chen

Designed reproducible Python/Jupyter pipelines benchmarking GPT-4, Gemini, and Llama. Tracked prompt versions, model configurations, and result sets to support structured experiments and human-centered evaluation of dialogic reading questions.

Teaching Assistant

Johns Hopkins Center for Talented Youth

Supported advanced STEM programming, guided student projects, and provided feedback on machine learning and data science assignments.

Programming & STEAM Instructor

iCode Columbia

Taught Python, Scratch, and interactive coding through project-based learning. Adapted lessons for different skill levels and helped young learners build confidence in computational thinking.

Machine Learning Intern

Bharat Intern

Built regression and classification projects covering house prices, wine quality, and iris species, with an emphasis on preparing data and evaluating models.

Artificial Intelligence Intern

Edunet Foundation

Developed a mental fitness analytics project using Python and scikit-learn. Prepared data, engineered features, and compared regression approaches across country-level datasets.

Simulation Developer

Shah & Anchor Kutchhi Engineering College

Coordinated a team developing a Superposition Theorem simulation for the BEE Virtual Lab. Built and tested interactive learning tools for aspiring engineers.

Let’s connect

Feel free to reach out about a role, a project, or a research collaboration.