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I'm a final-year Computer Science student at RGPV Bhopal, specializing in Data Science. I build AI-powered web and mobile products — from a campus marketplace with a Gemini-powered chatbot to a Flutter app that maps out career roadmaps. I like turning real student problems into real, working software.
I didn't grow up dreaming in code. I grew up curious — about how things work, why systems break, and what it takes to fix them. That curiosity is what eventually pulled me into computer science.
I'm a final-year Computer Science student at RGPV Bhopal. I started with the fundamentals — data structures, algorithms, web development — and kept asking "what if I built this myself?" That question turned into 500+ LeetCode problems solved, five shipped projects, and a growing comfort with everything from React frontends to Flutter mobile apps to Gemini-powered AI features.
Somewhere along the way, AI stopped being a buzzword and became a tool I actually use — to build smarter chatbots, predict prices with machine learning, and make apps that genuinely help people. I've interned in Java development, data science, and even spent time learning Linux and cybersecurity fundamentals, because I'd rather understand a system end-to-end than just one layer of it.
I'm currently looking for opportunities where I can keep building things that matter — and keep learning faster than I thought possible.
Java Intern at Infosys Springboard (Batch 6.0) and Android Developer Intern at Atavishaala — building real product features with Java, Kotlin, and REST APIs.
Two AI-powered projects in progress — a campus marketplace with a Gemini chatbot, and a smart lost-and-found system using image similarity matching.
Specializing in Data Science, with coursework in AI, machine learning, operating systems, and computer networks.
Solving daily on LeetCode, Codeforces, and CodeChef — currently rated 1874 on LeetCode with a focus on Dynamic Programming.
Started my Computer Science degree at RGPV Bhopal. Built a foundation in DSA, web development, and the MERN stack — and discovered I genuinely loved building things, not just learning theory.
Went a layer deeper than application code — learned Linux system administration and Kali Linux fundamentals. Understanding the system underneath the code changed how I think about building software.
Led a team of four to build a Geolocation-Based Attendance System. My first real taste of building under pressure, with a team, against a deadline that mattered.
Analysed a decade of Indian agriculture data with Python and MATLAB. My first experience translating raw data into insights someone could actually act on.
Shipped RoomSync, PathForge, and College Finder India — three live, deployed AI-powered products. Started seeing my code work for real people, not just pass test cases.
Currently building hands-on Java development experience in Batch 6.0 — object-oriented design, data structures, and real assignments that mirror industry work.
Building Android application features using Java and Kotlin, integrating REST APIs and contributing to UI components. Working on debugging, testing, and improving app performance in a real product environment.
A toolkit built across real projects — web, mobile, and AI.
Five products, built end-to-end — from idea to deployment.
Conversational AI health assistant built for the Meesho AI Hackathon — shortlisted Top 500 out of 36,000+ national participants. Users ask health queries and receive personalized, evidence-based AI responses powered by Gemini API and Agentic AI, in real time.
A cross-platform Flutter app that generates personalized AI career roadmaps across 25 engineering tracks, with week-by-week study plans and curated YouTube resources.
A college discovery platform to browse, compare, and bookmark 15+ Indian colleges by fees, placements, and ratings. Built as an assigned project task for an internship platform, taken from concept to full deployment.
Solving 500+ DSA problems taught me less about syntax and more about how to think through a problem before writing a single line of code.
A live project with rough edges teaches you more than a perfect one that never leaves your laptop. Every one of my projects went live before it felt "ready."
I use Gemini and machine learning to solve real problems — price prediction, spam detection, recommendations — not to skip understanding how things work underneath.
Learning Linux and Kali Linux fundamentals wasn't required for my degree. I did it anyway, because understanding the system below your code makes you a better builder.
Shortlisted in Top 500 out of 36,000+ national participants. Built HAQ Agent — an AI health assistant using Gemini API and Agentic AI architecture.
Selected nationally; led a 4-member team on a Geolocation-Based Attendance System.
Selected by Google Cloud & Hack2skill for AI mentorship — Top 50 rank nationally.
Promoted Google products and the Gemini AI platform across campus.
Completed Cloud, ML & Gen AI program — earned Legend tier recognition.
Focused on Dynamic Programming, with multiple streak badges. Codeforces Rating 1559.
Five certifications across Cloud Computing, AI, ML, and Data Analytics.
Open to internships, collaborations, and projects worth building.
snehachoudhary2620@gmail.com