Software Development Engineer Intern
Amazon Web Services (AWS) · May 2026 -- Aug 2026
ProActive Security Team
AI/ML Research Intern
FloodWatch (floodwatch.io) · Mar 2025 — Present
Contributing to an NSF-funded flood early warning system for smart cities.
- Built backend + frontend services (TypeScript, Next.js, tRPC, AWS Lambda) for platform features and data delivery.
- Developed and deployed deep learning + statistical forecasting models to predict real-time flood severity from weather, satellite, and IoT sensor data.
- Co-authored an IEEE CAMA 2025 paper on an unsupervised multimodal statistical framework for flood severity.
TypeScript
Next.js
tRPC
AWS Lambda
Software Engineering Intern
Dewberry Engineers · Jun 2024 — Feb 2025
Built a secure analytics platform to automate financial document processing and collaboration.
- Developed a secure analytics web platform with React, Flask, PostgreSQL, Docker, and Kubernetes.
- Automated financial document processing for multi-user collaboration, reducing reporting time by 50%.
- Built a document intelligence pipeline integrating OCR (Tesseract) + GPT-4 API for extraction, entity recognition, and anomaly detection.
React
Flask
PostgreSQL
Docker
Kubernetes
Software Engineering Intern
Anote.ai (Breakthrough Tech AI) · May 2025 — Present
Built a benchmarking suite and leaderboard to evaluate API-submitted AI models across tasks.
- Developed and integrated a benchmarking suite (Flask, MySQL, React) to evaluate models across web, Q&A, and image classification tasks.
- Built an interactive leaderboard to compare performance consistently across models and datasets.
- Implemented evaluation metrics and integrity safeguards to ensure fair comparisons and prevent metric gaming.
Flask
MySQL
React
Evaluation
Research Assistant
UVA Link Lab · Jun 2024 — Present
Researching self-driving policy interpretability using reinforcement learning and simulation tooling.
- Built an RL data collection pipeline to study self-driving policy interpretability; engineered a custom driving rig.
- Fine-tuned MetaDrive simulators for replay/control of 10,000+ Waymo scenarios.
- Applied behavioral transformers and adversarial imitation learning residual policies to gather expert-like driving data.
Reinforcement Learning
MetaDrive
Imitation Learning
Python
Research Assistant
UVA School of Medicine · Jan 2024 — Feb 2025
Published deep learning work for large-scale analysis of experimental images + text records.
- Published a psychiatric journal paper on a deep learning pipeline combining CNNs + SBERT.
- Enabled automated analysis of 100,000+ experimental images and text records.
PyTorch
CNNs
SBERT
Research