Jivitesh User

I’m a versatile Python developer focused on backend engineering and AI/ML systems. I build production-style applications—backend APIs, data pipelines, and AI workflows—designed for scalable architecture and clean code.

In my current role at Vivon Creation, I’ve built Python automation systems for inventory tracking and data entry, cutting hours of manual reconciliation. I also developed logistics and garment catalog automation using Python and OpenCV, reducing product onboarding time by over 60%, and designed barcode-based tracking for real-time inventory lookup.

One of my standout projects is an AI Candidate Screening System: an end-to-end FastAPI + Next.js interview platform with resume parsing, adaptive RAG-based question generation, real-time answer evaluation, and AI-generated hiring reports. I implemented context-aware generation using local HuggingFace embeddings with ChromaDB and used Groq LLMs for structured evaluation and difficulty scoring.

I also build supporting RAG and ML solutions, including a RAG Document Q&A system for domain-specific retrieval with semantic chunking and vector search. Across projects, I pair FastAPI/Flask, SQLAlchemy, PostgreSQL, and modern AI tooling (LangChain, HuggingFace, Groq) to deliver reliable systems that work in real business scenarios.