B.Tech in Computational Engineering | Full-Stack Developer | ML Engineer
📍 Hyderabad, India
📧 [email protected]
📞 +91-8088952606
🔗 GitHub | LinkedIn
I am a B.Tech student in Computational Engineering at IIT Hyderabad with strong experience in full-stack web development and machine learning. I have built real-time applications using React, Node.js, MongoDB, Supabase, and Socket.IO, and developed deep learning models using TensorFlow and Keras.
I enjoy designing scalable systems, writing clean backend APIs, and building production-ready web and mobile applications.
Frontend
- React.js
- TypeScript
- Tailwind CSS
Backend
- Node.js
- Express.js
- MongoDB
- Supabase
- REST APIs
- Socket.IO
Machine Learning
- TensorFlow
- Keras
- CNNs (U-Net)
Programming
- C++
- JavaScript
Tools
- Git & GitHub
- Linux
- OpenAI API
Hyderabad | Nov 2025 – Present
- Built a full-featured event discovery and social media platform using React (TypeScript) and Supabase
- Implemented event posting, joining, real-time chat, friend requests, and group formation using SQL data modeling
- Currently developing a Flutter companion app to improve user engagement
Jun 2025 – Present
- Worked on 3+ web and app development projects in a team environment
- Contributed to code reviews, feature planning, and deployments
- Improved collaboration and production delivery experience
Indian Institute of Technology Hyderabad
Bachelor of Technology in Computational Engineering (2024 – 2028)
- Relevant Courses:
- Data Structures and Applications
- Operating Systems
- DBMS
- CGPA: 8.7
June 2025 – August 2025
- Built a collaborative platform for developers to share code, ask questions, and discuss technical topics
- Implemented real-time chat and syntax-highlighted code sharing
- Frontend: React.js, Tailwind CSS
- Backend: Node.js, Express.js, MongoDB, Socket.IO
- Designed for community engagement, peer feedback, and showcasing work
Oct 2025 – Nov 2025
- Developed a U-Net based CNN to automatically colorize grayscale images
- Trained using TensorFlow/Keras, achieving 96% accuracy
- Deployed the model as a web application using Flask
- Machine Learning Specialization — Stanford University (Coursera) – May 2025
- Accenture Software Engineering Job Simulation — Forage – Apr 2025
- Solved 300+ LeetCode problems — Rating 1500+
- CodeChef Rating: 1600+
- Codeforces Rating: 1400+