Computer Engineering Undergraduate | AI, IoT & Full-Stack App Developer specializing in edge computing, embedded systems, and cross-platform mobile solutions.
- Languages & Scripting: Python, C/C++, SQL, Dart, JavaScript, Node.js
- AI, ML & Edge Vision: Ultralytics YOLOv8, ONNX Runtime, OpenCV, Kaggle (Tesla T4 GPUs)
- Embedded Hardware & IoT: ESP32-CAM, Raspberry Pi (4/3), MQTT Broker, WebSockets, Sensors (MQ-2, DHT22, DS18B20, HC-SR04)
- App & Web Development: Flutter Framework, Express, SQLite, REST APIs, Git/GitHub, Linux/PowerShell, DigitalOcean,
serve
| Project | Tech Stack | Description |
|---|---|---|
| Real-Time IoT Telemetry Data Pipeline | Python, Node.js, WebSockets (ws), HTML5/CSS3, JavaScript | Full-stack, event-driven telemetry pipeline simulating hardware sensors, streaming live JSON payloads over WebSockets, and visualizing metrics on a responsive web dashboard. |
| Smart Industrial Safety System | Python, YOLOv8, ESP32-CAM, Flutter, MQTT | AI-powered industrial safety helmet featuring real-time PPE compliance tracking, environmental hazard sensors, and cross-platform mobile monitoring. |
| AI-Powered Edge Vision Pipeline | Python, ONNX, OpenCV, YOLOv8 Nano | Custom-trained object detection pipeline optimized for edge devices, achieving high mAP for real-time video stream processing. |
| IoT Sensor Hub & Mobile Dashboard | Flutter, ESP32, MQTT, SQLite | Real-time telemetry dashboard providing live sensor data visualization, local data caching, and automated alert notifications. |