from RAG pipelines and LLM integrations to autonomous multi-agent systems.
I'm a Senior GenAI Engineer based in Chennai, India, specialising in designing and deploying enterprise-grade Generative AI and Agentic AI solutions — RAG systems, LLM integrations, and autonomous multi-agent workflows.
Over 3+ years across Tiger Analytics and Avasoft I've architected my organisation's first RAG system for high-volume ticket resolution, shipped a GenAI accelerator that cut ServiceNow setup time by 70%, and bridged deep AI expertise with the business communication needed to actually land these things in production.
Currently pursuing an MCA in Generative AI at SRM Institute of Science & Technology after a B.Sc. in Computer Science with Data Analytics from PSG College of Arts & Science.
What I reach for daily — production LLM systems, agentic workflows, the cloud stack underneath, and the fullstack glue.
GenAI accelerator that automated the ServiceNow dev cycle — auto-generated fix scripts, flow diagrams, and unit tests — cutting setup and development time by 70%+.
Real-time call-transcript analysis pipeline that pulled sentiment + performance metrics and surfaced them in a comparative dashboard for BPO managers.
Agentic AI system that monitored AWS services in real-time, detected anomalies against dynamic baselines, and could recommend or execute resolutions post-approval.
Code-graph + GenAI agent that mapped large codebases into semantic memory, answered dev queries, and auto-suggested bug fixes — speeding up onboarding and debugging.
Agentic platform that tailors resumes against a JD to maximise ATS scores, curates personalised study materials, and predicts likely interview questions.
Autonomous coding agent that indexes a full codebase into semantic memory and executes multi-step coding tasks — write, test, refactor, commit — via natural language.
Whether you need a GenAI architect, an Agentic AI consultant, or someone to build your next intelligent application — I'd love to hear from you.