Building intelligent systems across AI, healthcare, embedded computing, and full-stack applications.
Full Stack Developer @ Xnotch • Building Prinz
- Artificial Intelligence
- Computer Vision
- Retrieval-Augmented Systems (RAG)
- Embedded & IoT Systems
- Healthcare Informatics
- Edge Computing
- Distributed Applications
- Product Engineering
Languages
Python • C++ • Java • Dart • SQL • C
Frontend
Flutter • React
Backend
Node.js • FastAPI • Firebase • Supabase
AI / ML
TensorFlow • OpenCV • SpaCy • RAG
Embedded
ESP32 • Arduino • Raspberry Pi • NodeMCU
Design & Simulation
Figma • Blender • Fusion 360 • AutoCAD • UnityAI-assisted healthcare platform integrating computer vision, biometric sensing, offline diagnostics, and real-time monitoring.
IoT health informatics platform combining multi-sensor fusion, embedded systems, and multilingual AI-powered health assistance.
Predictive dispatch platform leveraging IoT and real-time commuter analytics for urban transport optimization.
3D security simulation featuring autonomous agents, pathfinding, and real-time vulnerability visualization.
Machine learning system for player valuation and bidding analytics using historical performance data.
- Winner — HacXerve
- Winner — Anveshana 2025
- Winner — Intellify 3.0
- Winner — Hacksprint 5.0
- Winner — KalpAIthon
- Runner-Up — Hack To Crack 2.0
- IEEE National Hackathon Finalist & Top 10 @ Confluence
AI Systems
├─ Multi-Agent Architectures
├─ Retrieval-Augmented Workflows
└─ Knowledge-Centric Applications
Edge Intelligence
├─ On-Device AI
├─ Sensor Fusion
└─ Embedded Decision Systems
Scalable Engineering
├─ Distributed Architectures
├─ Real-Time Systems
└─ Production Infrastructureemail = "tejashj527@gmail.com"
linkedin = "linkedin.com/in/tejas-h-j-784a54367"
github = "github.com/Tejashj"
location = "Bengaluru, India"Build useful things. Ship them. Measure impact. Repeat.