AI Engineer · Full Stack Dev · IoT Architect
Where bits meet atoms — building intelligent systems
that bridge the physical and digital world.
I'm a CSE (IoT) student from India, obsessed with building systems that make the physical world intelligent. My sweet spot lives at the intersection of AI, embedded systems, and full-stack engineering.
I don't just write code — I engineer end-to-end pipelines: from sensor data acquisition through edge processing, all the way to React dashboards and AI inference layers. That full-stack IoT ownership is what I'm chasing.
When I'm not shipping projects, I'm deepening my ML/DL knowledge, grinding DSA & system design, and exploring how LLMs can be layered onto IoT systems for smarter automation.
Currently: learning in public, building in production, open to collabs and internships.
Sensing the physical world. Interfacing hardware, reading sensors, acquiring real-time data at the node level.
Moving data reliably. Lightweight protocols, real-time streaming, cloud bridges and API integrations.
Making data meaningful. Training models, running inference at the edge, anomaly detection and predictive analytics.
↗ = currently exploring
AI-powered system that analyzes GitHub profiles + resumes to predict internship readiness. Scores candidates on real signals — commit activity, project quality, tech diversity.
Real-time full-stack platform with ordering flows, admin analytics, vendor management, and live order tracking. End-to-end product ownership from DB to dashboard.
Personal developer portfolio showcasing projects, skills, and professional identity. Built to reflect both technical skill and design sensibility.
Real-time IoT dashboard connecting ESP32 sensors via MQTT to a React frontend with live charts, anomaly alerts, and cloud sync.
Computer vision pipeline running on Raspberry Pi — object detection, real-time classification, and alert system with minimal cloud dependency.
Natural language interface to IoT systems — ask your smart home questions, get sensor summaries, trigger automations via LLM + MQTT bridge.
Open to collaborations, AI & IoT projects, hackathons, and internship opportunities.
If you're building something at the intersection of AI and the physical world — let's talk.