Full-Stack & Backend Engineer | CS @ Berea College (graduating May 2027)
I build systems that scale. Currently focused on distributed backend architecture, AI/ML pipelines, and medical imaging applications.
- Computational Medical Imaging – Research Intern at Brigham and Women's Hospital / Harvard Medical School (May–July 2026). Built a pipeline for 3D coronary artery reconstruction from CTA imaging to support cardiac surgery planning.
- Distributed Job Queue System – TaskFlow: Async job processing with Redis/BullMQ, idempotent retry logic, and real-time status updates. Production-grade patterns documented.
- RAG-Powered Document Analysis – LexAI: Legal document QA system using vector embeddings, pgvector, and GPT-4o with clause-level citations.
- Automated Code Review – ReviewBot: GitHub App performing AI-powered inline code review on every PR.
Languages: Python, JavaScript, TypeScript, SQL, C++
Backend & Infrastructure: Node.js, Express, FastAPI, PostgreSQL, Redis, Docker, distributed systems
Frontend: React, Next.js, Tailwind CSS
AI/ML: RAG pipelines, vector embeddings, LangChain.js, PyTorch, OpenAI & Anthropic APIs
- Portfolio: nberdi.github.io
- LinkedIn: linkedin.com/in/nauryzbekberdi
- Email: berdinauryzbek@gmail.com

