shubham sharma

I’m a motivated B.Tech CSE (AI & ML) student who enjoys turning real problems into end-to-end intelligent systems. I’ve built LLM-powered solutions—from conversational workflows to LLM-based insights—and I’m equally comfortable with deep learning for computer vision.

In my Conversational Data Analysis Intern role, I built an LLM-powered chatbot to automate structured data analysis workflows. I also delivered analyses like Netflix Content Trends Analysis and Airbnb Hotel Booking Analysis, translating data into strategic recommendations with an AICTE-certified project.

As an AI / ML Intern, I created an AI-powered Resume Screening System using supervised ML, reducing manual shortlisting effort by ~40%. I applied classification using TF-IDF plus ensemble methods, and I’m focused on building systems that are practical, measurable, and easy to deploy.

I keep raising the bar through hands-on projects and challenges—Top 6 Finalist at NASA Space Apps Challenge and an ISRO hackathon participant. From an IoT + ML air pollution control system to real-time facial emotion detection with OpenCV, I like shipping fast, optimizing for performance, and improving outcomes with each iteration.