Headline

Aspiring ML Engineer · RAG Systems · Multimodal AI · Reinforcement Learning · 2× Published Researcher | KCLAS Data Science

About

I build AI systems that don't just work in notebooks — they work in production. As a final-year Data Science student at KCLAS, I've spent the last two years specialising in Large Language Models, Retrieval-Augmented Generation, and AI reliability engineering. That means fine-tuning models with QLoRA, designing RAG pipelines that handle real-world document complexity, and building async inference systems that stay up under load. My research has been published in IEEE Xplore (Scopus-indexed) and IJIRT. In my internship at Lysa Solutions, I built production AI infrastructure — LLM grading pipelines, a centralised LLM Gateway, and asynchronous workflows using Celery and Redis. I didn't just write the code; I owned the architecture. I also teach, lead, and mentor — because I've found that explaining a system clearly is the fastest way to know whether you truly understand it.

Location

Coimbatore

AI stack

hugging face

langchain

langgraph

openai

Work experience

GenAI Engineer Intern at Infotact Solutions, Mar 2026 - Present · 4 mos, Remote

AI Engineer Intern at Lysa Solutions, Oct 2025 - Jan 2026 · 4 mos, Coimbatore, Tamil Nadu, India

Brigade Lead - Ignite at Kumaraguru College of Liberal Arts and Science, Jun 2025 - Jul 2025 · 2 mos

Automation Analyst at Kumaraguru College of Liberal Arts and Science, Mar 2025 - Jul 2025 · 5 mos, Coimbatore, Tamil Nadu, India

CSR Project - Chair at Rotaract District 3201, Jul 2024 - Jul 2025 · 1 yr 1 mo, KCLAS

Data Analyst Intern at OneYes InfoTech Solutions, May 2025 - Jun 2025 · 2 mos, Chennai, Tamil Nadu, India

Education

Bachelor of Science - BS, Data Science, Kumaraguru College of Liberal Arts and Science

Mathematics and Computer Science, Stanes Anglo-Indian Higher Secondary School