- π B.Tech in Computer Science (Data Science) β Mumbai, India
- π¬ Research Intern @ IIT Bombay β Multi-hazard early warning systems: IoT sensing, real-time data pipelines (Kafka, Flink), deep learning for disaster prediction & nowcasting
- π₯ Chairperson of DJS S4DS β Mentoring 200+ students in data science
- π» Full Stack Developer (MERN + FastAPI) and AI/ML practitioner (CV, Deep Learning, GenAI)
- π 2x Hackathon Winner β Love shipping fast, iterating with data
- π§ͺ Side project (w/ friends): EEG/EMG-based Hunger Detection System
- π± Currently learning: Streaming analytics, neuromorphic computing & biosignal processing
- π¬ Ask me about: AI/ML pipelines, full-stack architecture, or running a tech community
- π« Reach me at: LinkedIn Β· Email
- π§ AI/ML & GenAI with PyTorch, TensorFlow, scikit-learn, and OpenCV
- π Frontend with React/Next.js, TypeScript, Tailwind, and performant UI tooling
- βοΈ Backend APIs with Node.js/Express and FastAPI, containerized and tested
- π¬ Applied Research β IoT sensor networks, predictive analytics, and disaster nowcasting
- π Developer experience: Git, GitHub Actions, Postman, Docker, Vercel deployments
| # | What | Impact |
|---|---|---|
| π | Multi-Hazard Early Warning Systems @ IIT Bombay | IoT sensor networks + Kafka/Flink pipelines + deep learning for real-time disaster prediction & community alerting |
| π§ | EEG/EMG Hunger Detection (collaborative side project) | Biosignal + ML pipeline for inferring hunger states from neural & muscular signals |
| π₯ | Chairperson β DJS S4DS | Mentoring 200+ students; organizing workshops, hackathons & speaker series |
| π | 2x Hackathon Winner | Shipped end-to-end products under 36-hour constraints |
| π | Full-Stack Products | MERN + FastAPI apps with CI/CD, containerization, and cloud deployment |