Full Stack Developer & ML Enthusiast
B.Tech Computer Engineering student at PCCoE Pune, passionate about building scalable web applications and intelligent ML systems that solve real-world problems.
I'm a passionate Computer Engineering student specializing in Full Stack Development and Machine Learning. Currently pursuing my B.Tech at Pimpri Chinchwad College of Engineering, Pune (Batch 2023–2027), I thrive at the intersection of clean code and real-world impact.
As Co-Treasurer at PCCoE ACM Student Chapter, I actively manage chapter finances, coordinate technical events, and collaborate with 50+ student members, faculty advisors, and industry professionals. I earned the Outstanding Website Award 2025 at the ACM India Annual Event.
A curated set of tools I use to craft performant, scalable, and intelligent applications.
Real-world applications built with purpose — from agricultural AI to progressive web apps and data analytics.
An AI-enabled agricultural marketplace with a TensorFlow-based recommendation engine, live mandi price tracking, weather updates, and multilingual support (Hindi, Marathi, English). Implements secure authentication and location-based services on Firebase. Copyright registered under the Copyright Act of India (Cert. No. LD-20250168587).
Developed a responsive, mobile-first frontend for a retail garment and saree store, collaborating directly with the client to optimise UI and deploy the finished site.
Recognised at the national level for exceptional web development work during the ACM India Annual Event, demonstrating design excellence and technical depth.
Successfully registered copyright for the Agro Product App under the Copyright Act of India — an AI-powered agricultural marketplace Android application.
Co-authored research paper on AgriTrade accepted at the 1st International Conference on AI, Computation, Communication & Network Security (AICCoNS 2025).
Contributing to the academic community with peer-reviewed research at international conferences.
Co-authored research on an AI-enabled agricultural marketplace with real-time mandi price tracking, weather intelligence, and a scalable recommendation system. The platform leverages TensorFlow Lite-based ML models and Firebase for scalable real-time data management, demonstrating practical AI deployment on resource-constrained mobile devices.
Continuous learning through structured programmes from industry-recognised platforms.
Whether it's a project, internship, or collaboration — I'm always open to new connections.
I'm currently open to exciting Full Stack & ML opportunities. Reach out and let's build something impactful together.