I'm a passionate full-stack developer with a strong academic foundation in computer science, and a deep interest in artificial intelligence and machine learning. Alongside building scalable web and mobile applications, I actively engage in competitive programming and solve algorithmic challenges using C++.
My award-winning project SahYatri reflects my ability to build impactful, real-world tech solutions—blending intelligent systems with intuitive user experiences. I thrive on solving complex problems, whether it's through elegant UI or optimized algorithms.
Machine Learning Focus
DSA in C++ | Codeforces & CodeChef
End-to-end Development
Cross-platform Apps
2023 – 2027
Bachelor of Technology in Electronics and Communication Engineering with specialization in Computer Science (ECS)
🏆 BitBox 5.0 Winner – SahYatri (real-time transport analytics)
📱 Flutter timetable app for class tracking via API
🧠Active in CP, AI/ML, and hackathons
A comprehensive toolkit spanning AI/ML, full-stack development, and cloud infrastructure.
From AI-powered solutions to competitive programming and full-stack engineering — I build things that matter.
Building intelligent systems with deep learning, NLP, and computer vision — from RAG pipelines to end-to-end ML deployments.
Solving complex algorithmic challenges with optimized C++ solutions — active on Codeforces and CodeChef.
Crafting high-performance web applications with modern frameworks, REST APIs, and real-time features.
Building scalable cross-platform mobile apps with Flutter, real-time data pipelines, and native-feel UIs.
Ready to bring your ideas to life? Let's discuss your project.
AI-powered handwritten math solver using a PyTorch CNN that recognizes digits and operators drawn on a digital canvas, achieving 98.6% validation accuracy.
AI-powered nutrition tracker with food image recognition, voice-to-text logging, health-aware alerts, and goal-based dietary recommendations. Built with Next.js & Supabase.
Pay-As-You-Drive insurance risk scoring system that evaluates real-time telematics data to predict crash/claim risk and generate a 0–100 safety score via REST API.
NLP system that transforms natural food descriptions into detailed nutritional data using spaCy NER, USDA API integration, and a FastAPI + Streamlit interface.
Full-stack AI interview platform featuring automated PDF resume parsing, AI-generated technical questions via Hugging Face, and a secure Docker-based code execution sandbox with proctoring and performance analytics.
Have a project in mind? Let's discuss how we can work together to bring your ideas to life.
I'm always interested in hearing about new projects and opportunities. Whether you're a company looking to hire, or someone with a project idea, I'd love to hear from you.