🛠️I bridge the gap between hardware and software. Currently an M.Eng candidate at Cornell, I build custom embedded solutions ranging from autonomous drones and LiDAR vehicles to precision tools like handheld oscilloscopes and PID control systems. I am driven by the challenge of making complex hardware efficient, reliable, and intelligent.
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Master of Engineering in Electrical and Computer Engineering
Cornell University | Ithaca, NY, USA
B.Tech Electronics and Communication Engineering
Vellore Institute of Technology
Team Demo Video
Experience
Systems and Embedded Engineer
SUN Mobility, Heavy Electrical Vehicle Team- Accelerated a 1.5+ year career track, earning a promotion to Systems Engineer to become the first intern in team history to achieve this distinction.
- Designed the core system architecture for the company’s flagship swappable battery packs (for heavy electric vehicles), high-voltage charging systems, and robotic swap solutions, contributing to 7+ pending patents.
- Developed advanced control logic and state machines for battery swap orchestration, achieving a station swap time of under 2.5 minutes. Built modular ROS2 nodes for LiDAR-based object detection, 3D reconstruction, and robust proximity sensing.
- Automated End-of-Line (EOL) testing and system validation scripts, enabling rapid, zero-touch deployment of new battery swap stations. Proficient in CAN, MODBUS, RS232, Profinet, I2C, JTAG, TCP, UDP, and AV over IP.
Team Vice-Captain
Assailing Falcons- Managed a team of 40 juniors, ensuring smooth daily operations, efficient workflows, and a productive work environment.
- Mentored the avionics department on designing and building propulsion systems, live telemetry monitoring systems, and autonomous systems.
- Handled sponsorships and documentation, crucial for maintaining team credibility and securing financial backing.
- Managed the team’s social media presence, establishing a strong global profile for Assailing Falcons.
Avionics and Automation Engineer
Assailing FalconsDesign Report- Played a key role in the avionics department, designing and integrating electronic systems for aircraft control, communication, and navigation.
- Worked extensively with commercially available flight controllers and custom-built microcontrollers to develop and test complex logic circuits, incorporating a wide range of sensors and actuators for UAVs and ground vehicles.
- Developed custom algorithms and implemented computer vision and image processing techniques to enhance autonomous capabilities, surpassing competition requirements.
- Collaborated closely with the propulsion team, experimenting with electric motors, IC engines, and various propellers to optimize thrust for aircraft, contributing to international award wins.
- Manufactured custom carbon fibre, balsa, and Kevlar-based composite materials in-house to ensure lightweight and durable designs, significantly enhancing performance and efficiency.
Electronics Intern
Keltron Component Complex LTD (State Owned Electronics Enterprise)- Worked on enhancing IP ratings, writing source code, troubleshooting, and conducting system tests for electronic components, including inverters, rectifiers, and management systems used in nuclear and thermal power generation.
- Involved in the Security, Surveillance, and ID Development department, overseeing safety measures across the state of Kerala.
Senior Core Member
Indian Society for Technical Education- Organized and hosted hackathons and webinars on a national level
Volunteering
Designer
Helphen India (NGO) | January 2023 - Present
Editorial Head
VIT Stellar | January 2022 - May 2023
Publications
Team Assailing Falcons Design Report
SAE AERODESIGN EAST, 2024
The offical Design Report for Marut(2023 Flagship) as submitted to SAE Aero design East held at Lakeland Florida.
Was judged by dignitaries from NASA and Lockheed Martin and awarded 3rd rank world wide.
Smart-Door Bio sentry
Sustainable Innovation in Engineering and Technology, 2023
Published under the IoT domain of SIET 2023 conference and made a working prototype of a smart doorbell which doubles as a anti Covid/Viral protection system via inbuilt health sensors and a disinfectant dispersal system. Works on a YOLOV3 model running off a RPI.
Intelligent Warehouse Optimization System
IEEE CONECCT, 2024 (Under Review)
It is linear regression based System designed to optimize warehouse management by seamlessly combining machine learning, IoT technology and predictive maintenance. The primary goal of IWOS is to enhance the overall efficiency, accuracy and reliability of warehouse operations, ultimately leading to reduced costs.
Read The Paper