I'm a final-year B.Tech student at IIT Kanpur, majoring in Mathematics and Scientific Computing. I'm passionate about building high-impact technology, from on-device AI agents and quantitative trading models to large-scale mobile applications.
I'm currently channeling that passion into building a stealth startup.
- 🧠 ML & Quant: Building and deploying ML pipelines. Previously a Quantitative Trading Intern @ Axxela, where I was the most profitable intern (€2.3k+) and secured a Pre-Placement Offer (PPO).
- 📱 Mobile Dev: Specializing in Flutter for cross-platform app development. I've led the solo development of a production app and built apps for the Government of India (Jal Jeevan Mission) and the Govt. of Odisha.
- 🚀 Founder: Currently building and exploring new ventures in tech.
This is a snapshot of the tools and technologies I use, based on my projects and experience.
 Flutter |
 Dart |
 Python |
 Go |
 C++ |
 JavaScript |
 PyTorch |
 TensorFlow |
 scikit-learn |
 LangChain |
 React |
 Firebase |
A cross-platform Flutter app that deploys the Gemma 3N model for local, offline execution on mobile devices. It enables dynamic creation of AI agents (like travel or email assistants) from user prompts.
Utilized Llama3 and RAG to match mobile device vulnerabilities with CWE entries. Deployed an on-prem solution and achieved 65% accuracy in matching vulnerabilities.
Developed a Flutter-based mobile app to track water leakage in rural locations. Implemented a real-time leakage map, a complaint management system, and a Go backend with a Postgres database.
Implemented a multi-node NLP pipeline in Langgraph to formalize natural language design requirements. Created a model for hallucination detection using semantic similarity scoring.
Developed a gamified learning app in Flutter and Firebase, featuring 1000+ questions. Integrated AI-powered, multilingual explanations to enhance the learning experience for underprivileged children.