Headline

AI Engineer | VITV’26 | BTech in Electrical and Electronics Engineering | VIT Vellore | Ex-Intern at Tata Cummins

About

I build AI-powered applications that combine Large Language Models (LLMs), backend engineering, and intelligent automation to solve real-world problems. My experience spans the complete AI application lifecycle—from data pipelines and backend APIs to semantic search and production-ready AI systems. During my internships at Tata Cummins and Indika AI, I built Python/SQL data pipelines, automated business workflows, and improved the quality of large-scale datasets powering downstream AI and analytics solutions. Beyond internships, I've developed production-style AI applications, including an AI-powered job matching platform built with FastAPI, semantic search, and modern web technologies, along with an award-winning multi-agent autonomous system. These projects strengthened my expertise in building scalable, intelligent software from idea to deployment. Core Technologies: Python • Generative AI • LLM Applications • FastAPI • AI Agents • Semantic Search • SQL • REST APIs • Backend Engineering • Data Engineering • Docker • Git I'm seeking opportunities as an AI Engineer, Applied AI Engineer, Generative AI Engineer, or AI Software Engineer, where I can build intelligent products that create real-world impact.

Location

Greater Delhi Area

AI stack

claude code

claude

codex

cursor

grok

ChatGPT

Work experience

Engineering Intern at Cummins India, May 2025 - Jul 2025 · 3 mos, Jamshedpur, Jharkhand, India, - Built Python and SQL ETL pipelines to ingest, clean, and structure 10,000+ IoT time-series telemetry records, reducing manual data preparation effort by 60%. - Analyzed sensor data using statistical anomaly detection and pattern-recognition techniques to identify abnormal operating behavior and support predictive maintenance analysis. - Developed a Scikit-learn classification model to categorize sensor telemetry, improving anomaly detection accuracy by 15% and gaining hands-on exposure to applying machine learning to real-world industrial data. - Transformed raw sensor data into structured, analysis-ready datasets using SQL and relational data modelling, while building KPI monitoring workflows for engineering stakeholders. The experience introduced me to the potential of machine learning in real-world systems and motivated me to explore AI/ML further through independent projects in NLP, computer vision, and intelligent applications.

Education

Bachelor of Technology - BTech, Electrical and Electronics Engineering, Vellore Institute of Technology

Public links

react-tailwind-personal-portfolio-navy.vercel.app: https://react-tailwind-personal-portfolio-navy.vercel.app/