NAMAN SHUKLA

I’m an aspiring software developer with hands-on experience building full-stack AI/ML and document intelligence applications. I’ve worked across machine learning workflows and production-style deployments, always focused on turning models into usable software.

In my Machine Learning internship, I contributed to a brain tumor classification project using MRI image analysis, including data preprocessing, model training, evaluation, and optimization with Python and TensorFlow/PyTorch. I also built and deployed AIDocsAgent, a SaaS that uploads documents, extracts and chunks content, and answers grounded questions through RAG chat with JWT authentication, semantic search, and guardrails—backed by Supabase PostgreSQL and ChromaDB. Alongside that, I developed AI systems like a Smart Parking Management solution using YOLOv8 and an AI Medical Image Analyzer using OpenCV and the LLaMA API.