I build explainable ML, automated workflows and products people can actually use.
I like problems where the data is messy, the stakes are real, and the answer has to be explainable to a human at the end of it. Most of my work sits at that intersection — a pillbox that proves a dose was taken, a map that shows where the next tiger conflict is likely, a sales system that turns guesswork into forecasts.
| 🎓 Studying | AI & Data Science at NIIT University |
| 🔭 Currently building | A self-hosted, voice-AI-enabled CRM automated with n8n |
| 🧠 Researching | Conversational explainable AI (XAI) |
| 🌍 Based in | Gurugram, India |
| 💬 Ask me about | Explainable ML, workflow automation, IoT dashboards, product engineering |
| Project | What it does | Stack |
|---|---|---|
| Smart Pillbox | IoT medication monitoring with a live adherence dashboard | Python Streamlit ThingSpeak |
| Tiger Conflict Intelligence Hub | Map-driven early-warning system for human–wildlife conflict | Node.js Express Leaflet SQL |
| SYNAPSE | B2B automotive sales platform with forecasting and analytics | Node.js Express MySQL |
| Portfolio | Motion-driven personal site, deployed on Vercel | Next.js React TypeScript Tailwind |
| Fuel Optimization | Constrained route optimisation with Lagrange multipliers | Python Calculus |
| Laplacian Image CDLL | Edge detection driven by a custom pointer-based pixel structure | Python OpenCV |
| XR Haptic Glove | Wearable concept that gives the metaverse a sense of touch | XR Haptics |
Languages
Data & Machine Learning
Web & Product
Infrastructure & Tools
| Area | What that means in practice |
|---|---|
| 🔍 Explainable ML | Models that can justify their output, not just produce it |
| ⚙️ Workflow automation | Removing the manual steps between data arriving and a decision being made |
| 📡 IoT & sensing | Turning physical signals into dashboards people trust |
| 🧩 Product engineering | Shipping the whole thing — backend, interface and the story around it |
Building things that explain themselves.