About me: Full-stack Python engineer with an MS in Computer and Information Science from the University of Michigan. I build backend services, data pipelines, and LLM apps.
At Divinity Science, I built a journaling web app. I also automated a 6-hour weekly research task into a 20-minute Scrapy run across 12 sources.
Before this, I built a RAG app on AWS for 8,000+ students using LangChain, AstraDB, FastAPI, and React. I also built BirdEye, a Raspberry Pi wildlife monitor. BirdEye became my peer-reviewed master’s thesis.
I want backend, full-stack, or applied AI roles.
Remote: Yes. Open to remote, hybrid, or on-site within US.
Willing to relocate: Yes. Open to discussing relocation. Technologies: Python, FastAPI, Django, React, TypeScript, JavaScript, PostgreSQL, MySQL, MongoDB, Redis, LangChain, RAG, OpenAI API, Vector DBs (AstraDB), Docker, AWS (ECS, Lambda, App Runner, CloudWatch), GCP, GitHub Actions, Pytest, Scrapy, Playwright, Selenium, Raspberry Pi
Résumé/CV: https://drive.google.com/file/d/1MkHAqxlLuTunvz0ZliNdosjR37o...
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/sai-vikram-patnaik/
About me: Full-stack Python engineer with an MS in Computer and Information Science from the University of Michigan. I build backend services, data pipelines, and LLM apps. At Divinity Science, I built a journaling web app. I also automated a 6-hour weekly research task into a 20-minute Scrapy run across 12 sources. Before this, I built a RAG app on AWS for 8,000+ students using LangChain, AstraDB, FastAPI, and React. I also built BirdEye, a Raspberry Pi wildlife monitor. BirdEye became my peer-reviewed master’s thesis. I want backend, full-stack, or applied AI roles.
My research : https://scholar.google.com/citations?user=mBY3OAoAAAAJ&hl