DocPlainer RAG Chatbot
A RAG-based chatbot supporting PDF, DOCX and Markdown documents, using recursive chunking, embeddings and ChromaDB vector search, with a fallback web-search pipeline for insufficient context and citation-backed responses.
Hi, I'm Tharun PV ๐
Software Engineer focused on AI, GenAI and backend, with 2+ years of experience. Most recently AI Automation Engineer at Nova Benefits, previously at Accenture. I connect LLMs to real business systems so teams spend less time on manual work.
01 / About
Software Engineer (AI, GenAI & Backend) with 2+ years of experience building LLM-powered applications, RAG systems, REST APIs and automation workflows in Python and FastAPI. Skilled in prompt engineering, MCP, CI/CD and production debugging, with results including a ~50% cut in manual effort and ~40% better ticket prioritization.
๐ Bengaluru, India
02 / Experience
Nova Benefits ยท Bengaluru, Karnataka
Accenture ยท Bengaluru, Karnataka
Bannari Amman Institute of Technology ยท Erode, Tamil Nadu
ICICI Prudential
Vee Technologies Pvt. Ltd. ยท Salem, Tamil Nadu
03 / Projects
A RAG-based chatbot supporting PDF, DOCX and Markdown documents, using recursive chunking, embeddings and ChromaDB vector search, with a fallback web-search pipeline for insufficient context and citation-backed responses.
A real-time OCR tool built with Tesseract that detects errors and keywords from live video streams. Automates UI bug detection and device validation by flagging predefined patterns in video frames, streamlining testing and reducing manual inspection.
Contributed to the DevRev MCP API server, adding automated testing, CI/CD integration and workflow automation for reliable backend execution.
04 / Skills
05 / Education
Sona College of Technology
Bachelor of Engineering in Computer Science and Engineering
2020 โ 2024
06 / Contact
Open to new opportunities. The fastest way to reach me is email.