Building real-time systems that save lives — from AI‑driven doctor scheduling to Flutter apps and ESP‑powered devices.
- 🧑💻 Bengaluru-based developer & ML engineer
- 🌐 Full‑stack: NestJS + Flutter + PostgreSQL → production‑ready apps
- 🤖 Deep Learning: PyTorch models for real-time decision systems
- 🔌 IoT/Embedded: ESP32 projects bridging hardware ↔ cloud
- 🎯 Passion: Real-time systems that handle emergencies and edge cases
Python 3.12 - PyTorch - Scikit-learn - Pandas - NumPy - joblib - Jupyter
NestJS (+ Bun, Prisma, RxJS, Fastify, KafkaJS, IoRedis) - Django (+ DRF)
Flutter - PostgreSQL - MongoDB - Redis - Docker
ApiDog - Android Studio - VS Code - PyCharm - DataGrip - Warp Terminal
AI‑powered hospital scheduling that prioritizes emergencies and saves lives.
Real-time ranking + scheduling based on:
✅ Doctor availability (primary factor)
✅ Patient urgency/severity/emergency status
✅ Dynamic batch slot optimization
✅ Lab report viewer + secure storage
Tech: NestJS • PyTorch • PostgreSQL • Flutter • Real-time Kafka
→ HopSlot Repo
Campus life platform streamlining student workflows.
- Flutter frontend for smooth mobile experience
- Node.js/Express backend handling core logic
- Student info + cafeteria management + daily utilities
→ SISAC Frontend
→ SISAC Backend
Embedded projects connecting hardware to cloud/ML backends.
ESP32/ESP8266 - C/C++ - Sensors → Cloud pipelines
IoT + web + ML integration
Real systems that handle chaos:
- Emergency prioritization (HopSlot saves lives)
- Real-time availability + batch optimization
- B2B healthcare workflows
- Hardware ↔ software bridges
✉️ Email • 💼 LinkedIn • 🐙 GitHub
Bengaluru, India | Open to collaboration on end to end tech, real-time systems, and ML‑powered products
⭐ Star my repos if they help! Let's build something that matters.