Software engineer focused on backend systems and applied AI · Georgia Tech CS ’28
My work focuses on building APIs, AI agents, data pipelines, and user-facing applications. I previously worked on Delta Air Lines’ Enterprise AI team and have also turned startup ideas and side projects into working software. I’m seeking 2027 software engineering internships in backend, AI, and full-stack development.
- Delta Air Lines — Software Engineering Intern, Enterprise AI Team (2026)
- Zayzen AI — Software Engineering Intern (2025)
- Emory University Biomedical Engineering — Research Assistant (2023–2024)
- GreenEatsApp — Co-Founder (2026–present) www.greeneatsapp.com
Verified model switching for LLM applications. The platform ingests production traces, identifies lower-cost model candidates, runs shadow replays in background workers, and returns evidence-backed switch recommendations.
TypeScript · NestJS · Next.js · PostgreSQL · Prisma · Redis · BullMQ · Docker
Private startup project for personalized fashion deal discovery. The public repository is a code-free product and engineering case study covering user research, pilot results, and high-level architecture; the production implementation remains private.
React Native · Expo · FastAPI · PostgreSQL · Applied ML
Computational-pathology research prototype for whole-slide biopsy analysis. The pipeline prepares 512×512 image and mask patches, applies stain normalization, segments cancer regions with U-Net, and explores Gleason-grade classification with EfficientNetB0.
Python · TensorFlow · OpenCV · OpenSlide · scikit-learn
- Backend: TypeScript, Node.js, NestJS, Python, REST APIs
- Data and infrastructure: PostgreSQL, Prisma, Redis, BullMQ, Docker, GitHub Actions
- Applied AI: LLM evaluation, model-selection workflows, computer vision, TensorFlow, scikit-learn
I’m focused on agentic AI and the backend systems around it: MCP servers, production APIs, asynchronous data pipelines, evaluation systems, and infrastructure that makes model behavior measurable and reliable.