
Payansh Jain
@payanshjain
I'm building production-grade GenAI, RAG, and computer vision systems.
What I'm looking for
I've built production-grade RAG systems and multi-agent platforms for codebase understanding, using LangGraph, FastAPI, ChromaDB, BM25, PostgreSQL, Docker, and local LLMs through Ollama. My Codebase Intelligence Platform supports repository-wide question answering, AST-based parsing, context-aware retrieval, and cross-file reasoning.
At Infosys Springboard, I built a CNN-based crowd-counting and density-estimation model and an interactive Streamlit dashboard for real-time visualization. I also developed a self-improving RAG system with hybrid retrieval, cross-encoder reranking, LLM evaluation, and scalable FastAPI deployment on Render.
Experience
Work history, roles, and key accomplishments
AI / ML Intern – Computer Vision
Infosys Springboard
Oct 2025 - Dec 2025 (2 months)
Built a CNN-based crowd counting and density estimation model using density map regression on real-world image datasets, evaluated using MAE and MSE metrics. Designed end-to-end ML pipelines for data preprocessing, model training, and inference, and developed an interactive Streamlit dashboard for real-time density map visualization.
Education
Degrees, certifications, and relevant coursework
Walchand Institute of Technology, Solapur
B.Tech, Computer Science & Engineering
Grade: 8.9/10
Pursuing a B.Tech in Computer Science & Engineering with a CGPA of 8.9/10, expected to graduate in May 2027.
Availability
Location
Authorized to work in
Portfolio
github.com/payanshjainSalary expectations
Social media
Skills
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