"I build systems where hardware, firmware, and intelligence meet."
I am an Electronics & Communication Engineering Student passionate about solving real-world problems through low-power embedded systems and Edge AI. I don't just write scripts; I architect complete solutions from the sensor node to the cloud dashboard.
- 🔭 Working on: Long-range LoRaWAN tracking & TinyML for microcontrollers.
- 🎓 Studying: Embedded Firmware Optimization & RTOS.
- 💼 Goal: Seeking Internship roles in Embedded Systems / IoT / Firmware Engineering.
Python |
C++ |
Embedded C |
Arduino |
ESP32/IDF |
Linux |
|
TinyML |
Git |
LoRaWAN |
VS Code |
Streamlit |
Actions |
| Project | Description & Tech | Impact |
|---|---|---|
| 🛰️ Vehicle Tracking System | Stack: ESP32 GPS LoRaWAN Python A non-cellular tracking solution using LoRa for long-range telemetry. |
Enabled real-time asset tracking in dead-zone areas without recurring SIM costs. |
| ⚡ Power Modeling Engine | Stack: Python Data Analysis Pandas Algorithmic modeling of battery depletion for remote sensor nodes. |
Predicted device lifespan with 90% accuracy, optimizing maintenance schedules. |
| 🤖 Edge AI Vision | Stack: TensorFlow Lite Micro ESP32-Cam Running object detection directly on-chip without cloud latency. |
Reduced data transmission by 70% by sending only alerts, not video streams. |
"Optimization is the root of all engineering."