Experience
Internships, research, and technical roles I've held.
Sept 2025 – Present
AbbVie
Software Engineering Intern · Remote
- Built a containerized analytics web app (R Shiny, Docker, Plotly) used by oncology researchers to explore RNA-seq differential-expression results and run ORA/GSEA pathway enrichment against MSigDB across 5 datasets and 10k+ gene sets.
- Designed a JSON manifest contract and runtime data-source discovery layer to decouple upstream batch outputs from the app, letting new datasets be onboarded without code changes.
- Improved reliability with reactive dependency isolation, stale-state race-condition guards, and 2 automated headless test harnesses covering cold-start and initialized states.
- R
- Shiny
- Docker
- Plotly
- Bioinformatics
Aug 2026
Jane Street
INSIGHT – Trading & Research Track · New York, NY
- Attended Jane Street's INSIGHT, a highly competitive program exploring quantitative trading and research at one of the world's leading proprietary trading firms.
- Explored the application of probability, statistical modeling, and machine learning to research and markets.
- Quantitative Research
- Machine Learning
- Probability
- Statistics
Jan 2026 – May 2026
Rolls-Royce
Machine Learning Engineering Intern · Remote
- Built a PyTorch generative model for synthetic multivariate time-series/sensor data, using a transformer-based masked diffusion architecture and distribution-derived column embeddings to support unconditional, conditional, and partial-row generation.
- Engineered a schema-agnostic ML pipeline with automated feature selection and self-describing checkpoints, scaling the same codebase from 26 to 500+ columns without code changes.
- Implemented LoRA fine-tuning and automated model evaluation using MMD, domain-classifier accuracy, correlation distance, and KS statistics, validated by 21 tests covering schema invariance, masking, and inpainting.
- Python
- PyTorch
- Diffusion Models
- LoRA
- Time Series
Aug 2024 – May 2025
Purdue Robomaster (Boilerbots)
Algorithms Lead · West Lafayette, IN
Algorithms team member from Aug 2024, Algorithms Lead from Jan 2025.
- Led omnidirectional chassis control in ROS: forward/inverse kinematics and PID tuning through Gazebo sim-to-real for holonomic motion.
- Built CV-based autonomous aiming with real-time target tracking under competition arena conditions.
- ROS
- Gazebo
- OpenCV
- C++
- Control Systems