Headline

AI/ML Engineer | LangGraph + Agentic AI | GraphRAG | IIT Madras | NSSCE | Springer KAIS Journal

About

As an AI/ML Engineer with a dual degree from IIT Madras and KTU, I specialise in building production-grade agentic AI systems that go beyond simple prompt-response patterns. What I build: → Fault-tolerant LangGraph multi-agent pipelines with HITL gates and stateful checkpointing → GraphRAG systems with Neo4j for relational entity reasoning across enterprise document corpora → OCR + RAG pipelines processing 1,200+ documents at 5x automation scale on GCP Cloud Run Published researcher — Springer KAIS Journal and IEEE ICIC3S on fusion GNN-Transformer architectures for molecular property prediction. Stack: LangGraph · LangChain · MCP · Neo4j · FastAPI · GCP · PyTorch · TensorFlow · Docker · PostgreSQL

Location

Greater Coimbatore Area

AI stack

antigravity

cursor

opencode

Work experience

AI/ML Engineer at Rappit, Jan 2025 - Present · 1 yr 8 mos, Coimbatore, Tamil Nadu, India, Engineered and deployed scalable LLM-powered Retrieval-Augmented Generation (RAG) pipelines using Gemini APIs and LangGraph, resulting in a 5x improvement in document automation throughput. Designed and implemented advanced multi-agent architectures for complex real-time reasoning, orchestration, and process automation tasks. Developed robust OCR preprocessing pipelines for unstructured data, enabling semantic NLP/LLM processing of over 1200 image-based documents. Recognized as Runner-up at the Rappit Agentic AI Hackathon 2024.

Associate Software Engineer at Rappit, Jun 2024 - Jan 2025 · 8 mos, Coimbatore, Tamil Nadu, India

Software Engineer Intern at Saint-Gobain, May 2023 - Oct 2023 · 6 mos, Palghat, Kerala, India, Reduced manual data collection effort by 60% through the development and deployment of a QR-based tracking system integrated with PostgreSQL. Built user-facing applications using React and integrated necessary APIs with core Autodesk systems.

Founding Engineer - AI at CORR ROBOTICS, Apr 2023 - Mar 2024 · 1 yr, Palakkad, Kerala, India, Applied Deep Learning techniques (ESRGAN, implemented using PyTorch) to improve underwater ROV vision through low-light image enhancement, demonstrating strong computer vision application skills. Led software development and mentored junior engineers, overseeing the implementation of the ROV control OS using Python and Vue.js

Education

Bachelor of Science - BS, Programming and data science, Indian Institute of Technology, Madras

Bachelor of Technology - BTech, Computer Science and Engineering, NSS College of Engineering, Palakkad

Public links

github: https://github.com/vyshakhgnair