I recently graduated from the University of Maryland with dual B.S. degrees in Computer Science and Mathematics, completing the four-year program in two years. I am currently pursuing an M.S. in Computer Science at Columbia University. My engineering background spans data architecture for defense contractors, computer vision research for surgical planning, and writing real-time control software for autonomous Mars rovers.
Most of what I enjoy sits in the gap between the two disciplines: a bound that tells you a data structure cannot be faster, a cache line that says the bound was optimistic, and the work of reconciling them. I like building tools other people can poke at, which is why so much of what I write ends up rendering something.
Away from a terminal I read a great deal of analysis I do not fully understand yet, play chess badly and quickly, and keep a running list of problems I intend to come back to.
TwoyearsatMaryland.Twodegrees.OnemonthuntilColumbia.
- Sep 2026 → Dec 2027Next
M.S. Computer Science
Columbia University
Coursework focusing on Networks, Hyperscale & AI Infrastructure, NLP, and Advanced Algorithms.
- Sep 2024 — Jul 2026Robotics
Integration Team Lead
UMD Loop (University Rover Challenge)
Directed a 7-engineer team spanning 6 software subsystems. Authored the ros2_control hardware abstraction layer to synchronize high-level Python vision pipelines with real-time C++ motor controllers for a semi-autonomous Mars rover.
- Aug 2024 — May 2026Education
B.S. Computer Science & Mathematics
University of Maryland, College Park
Dual degrees in CS (Data Science track) and Math (Statistics track), completed in two years. College Park Scholar (Science, Technology, and Society). 3.75 GPA.
- May 2025 — Aug 2025Industry
Data Engineering Intern
Aquil Systems Inc.
Architected an automated ETL pipeline extracting REST API payloads into a structured SQL data warehouse, feeding 15+ D3.js visualisations. Built a load-testing harness to validate 1000 RPS sustained throughput.
- Dec 2024 — Jan 2025Research
Computer Vision Intern
IIT Madras Healthcare Technology Innovation Centre
Re-architected a PyTorch-based medical image segmentation pipeline for spinal surgery planning. Accelerated execution by 78% (from 4 hours to 53 minutes) through memory optimizations and parallelized batching, maintaining 99.97% accuracy.
- Framework
- React 19 + Vite
- Motion
- Motion for React + Lenis
- Backdrop
- Hand-written GLSL, domain-warped simplex noise
- Artwork
- Harmonographs generated per project seed
- Type
- Bricolage Grotesque · Instrument Serif · JetBrains Mono
- Hosting
- GitHub Pages behind Cloudflare