Professional Summary
Highly motivated Mechatronics and Robotics Engineering student specializing in the practical application of AI and Large Language Models (LLMs) to physical systems. Demonstrated expertise in integrating vision models (MediaPipe), generative AI (Gemini API), and deep learning frameworks (PyTorch) into embedded and robotic platforms. Passionate about architecting the next generation of intelligent, autonomous systems from prototype to deployment.
Projects
NeuraHome: LLM-Powered Smart Environment
Architected a multi-modal smart home system featuring a Google Gemini powered conversational agent for advanced, natural language control and task automation.
ESP32 based IoT Medicine Dispenser
Developed an IoT-enabled medicine dispenser built with ESP32 to manage and dispense medication with scheduling and tracking.
Real-Time Anti-Sleep System for Driver Safety
Built and deployed an embedded computer vision system on an Arduino to enhance driver alertness.
Interactive Hand-Tracking Radar Visualization
Created a full-stack application that visualizes hand movements as a radar sweep using a Python Flask server and a Html frontend.
Experience
Member - IEEE, Robotics Society.
ExCom Member, SESA.
Class Representative
Certifications
- Prompt Design in Vertex AI - Google
- Introducton to Solid Edge - Siemens
- GenAI Powered Data Analytics (Tata) - Forage (Expected July 2025)
- Getting Started with AI on Jetson Nano - Nvidia
- Intro to IoT – NPTEL