🎓 Master’s student in Electromobility at FAU Erlangen-Nürnberg
🤖 Major In AI & Autonomous Driving and E-Powertrain
🧠 Specialized in Machine Learning, Storage Systems,Control Systems, and Robotics
📊 Skilled in programming, simulation, and ML applications
📍 Chair of Automatic Control, FAU Erlangen (Nov 2024 – Apr 2025)
- Developed an adaptive path planning algorithm for robotic cable manipulation
- Achieved 99.51% accuracy in multi-contact routing scenarios
- Utilized simulation environment (SOFA) to validate model robustness
- Tools: Python, SOFA, scipy, NumPy, Matplotlib, Numba
📌 Bi-directional Portable Charger for Electric Vehicles
- Designed bidirectional EV charger supporting G2V, V2G, and V2V
- Utilized LLC resonant converter with Totem-Pole PFC
- Enabled integration with three-phase AC and 400V DC systems
- Tools: MATLAB/Simulink
📌 Arduino-based Paralyzed Patient Assist Device
- GSM/WiFi system for real-time health monitoring and emergency alerts
- Remote control via mobile app with zero data loss in cloud sync
- Tools: Arduino, ThingSpeak, Java, C++
📌 Design and Simulation of Battery-Based Electric Vehicle and Charging Station
- EV and regenerative braking system with lithium-ion battery
- SOC tracking and dynamic drive-cycle simulation
- Tools: MATLAB/Simulink
📌 IoT-Based Cargo Tracking System with GSM/GPS Integration
- Live tracking with alerts and web dashboard using cloud platforms
- Real-time map updates and asset geolocation
- Tools: Arduino, Node-RED, Proteus, JavaScript
📌 Brain Tumor Detection Using Neural Networks
- Image classifier for grayscale MRI scans
- Preprocessing, feature extraction, supervised learning pipeline
- Tools: MATLAB, Neural Network Toolbox
📌 Smart Plant Pot – Automatic Irrigation System
- Soil moisture-based irrigation control with minimal cost
- Effective prototype using microcontroller and water pump
- Tools: Arduino IDE, Sensors, C++
CDCE Robotics – Industrial Automation Intern
- Programmed PLCs using ladder logic
- Integrated HMI, sensors, and relays in automation systems
- Built computer vision poka-yoke system with 100% test precision
| Degree | Institution | Years |
|---|---|---|
| M.Sc. Electromobility (ACES) | FAU Erlangen-Nürnberg | 2023–Present |
| B.Tech Electrical & Electronics | VIT Chennai | 2018–2022 |
- 🏅 Industrial Automation – CDCE Robotics (2020)
- 🎓 MATLAB Controller Tuning – VIT (2022)
"Strive not to be a success, but rather to be of value." – Albert Einstein
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