B.E. Electronics & Telecommunication Engineering
2022 – 2026
St. Francis Institute of Technology, Mumbai
CGPA: 7.0 / 10
Electronics & Telecommunication Engineer
Fresh Electronics & Telecommunication graduate with hands-on project experience in embedded systems, computer vision, and cybersecurity. Built a self-balancing agricultural rover with a custom Kalman filter and 200 Hz PID loop, and a YOLO-based freshness detection system achieving 96% accuracy for Flipkart Grid 6.0. Comfortable working across the full stack — from bare-metal firmware and sensor fusion to ML model training and deployment.
Two-wheeled self-balancing rover (5 kg payload) with a 3-tier vertical chassis. Wrote bare-metal I2C code for the MPU6886 IMU, implemented a custom 1D Kalman filter to remove stepper vibration noise, and ran a 200 Hz PID loop on ESP32 hardware timers driving NEMA 23 steppers via DM542 drivers. Integrated a 3-DOF robotic arm and a Bluetooth-connected plant monitoring module (DHT11 + soil moisture + rain sensor).
ESP32 · MPU6886 · Kalman Filter · PID · NEMA 23 · DM542 · C/C++ · Bluetooth
YOLO-based system that classifies fruits and vegetables as fresh or stale with 96% accuracy. Integrated barcode scanning (PyZbar) and OCR (Tesseract) for product identification, with a real-time Streamlit dashboard showing freshness scores, labels, and inventory count.
Python · YOLO · OpenCV · Streamlit · PyZbar · Tesseract OCR · Roboflow SDK
Trained Random Forest and SVM classifiers on network traffic data to detect port scans, DDoS patterns, and suspicious login attempts — filtering real threats from normal traffic.
Python · Scikit-learn · Pandas · Anomaly Detection
Standalone detection unit using ESP32 and Raspberry Pi Zero with a camera module. Runs OpenCV's DNN module with Caffe models for face detection, then classifies age and gender using SVM. Operates headless — plug in power and it starts detecting.
ESP32 · Raspberry Pi Zero · Python · OpenCV · Caffe DNN · SVM
Line-following robot with an IR sensor array and PID-tuned motor control. Competed against teams from engineering colleges across India.
Embedded C · IR Sensors · PID Control · Arduino
| Languages | C, C++, Python, Embedded C, MATLAB |
| Embedded | ESP32, Arduino, Raspberry Pi, PID Control, Kalman Filtering, Sensor Fusion, Stepper Motor Control |
| ML / Vision | YOLO, OpenCV, Scikit-learn, Streamlit, Tesseract OCR, Roboflow |
| Security | Penetration Testing, Network Security, Malware Analysis, Threat Detection |
| Tools | Git, Linux, Google Cloud, PlatformIO, Wireshark, Arduino IDE |