In collaboration with UC Berkeley FHL Vive Center for Enhanced Reality, Robot Open Autonomous Racing (ROAR) GoKart team.

- Leading the development of hill climb locomotion policies for robots, integrating state estimation and adaptive control, achieving a breakthrough in navigating steep slopes (>15 degrees) with enhanced energy efficiency and control accuracy using Python, Microcontrollers (MCU), Embedded programming (C++) and Tkinter.- Developed an analytical framework in Python and Tkinter to assess and optimize the energy consumption of robotic movements, enhancing control policy selection efficiency through detailed testing and algorithmic planning, paving the way for adaptive control and training through neural network models.- Implementing advanced sensor fusion techniques in tensegrity robots for precise state estimation, using FSRs and limit switches, enhancing real-time feedback and operational efficiency for closed loop control in dynamic environments.Technologies: Tkinter, Embedded programming, Embedded systems, Microcontrollers (MCU), Sensor Fusion, Computer vision, OpenCV, State estimation, IMUs, FSRs, Color tracking, Control systems, Adaptive control, Testing, System Integration, Python, C++

- Led the robotics team in a cross-functional task force for the development of a scalable, data-intensive microservices backend for UAV hardware abstraction, using MQTT, Docker, Redis and REST APIs, achieving robust platform scalability to support operations for 1 million global users through effective CI/CD practices.- Spearheaded the enhancement of autonomous landing accuracy for UAVs and extended support to 3 additional drone models, employing asynchronous Python, Kotlin, OpenCV, and ROS to integrate EKF, PID control systems, and computer vision techniques using sensor fusion for computer vision data and IMU sensors for improved state estimation.- Led the integration of ADS-B monitoring and UTMs with dashboard APIs via AWS IoT MQTT and Websockets, enhancing autonomous BVLOS drone operations' safety through improved collision avoidance.- Built, deployed and administered highly reliable VPC networks on AWS EC2 for drone simulation systems, utilizing custom AMIs and Debian builders, achieving great improvement in system reliability and performance.- Developed a dynamic system for calculating mission completion ETA, integrating path estimation with real-time updates using Python and Java, leading to an increase in operational planning efficiency through precise timing predictions.- Developed an advanced wrapper for the DJI SDK, integrating Python, ROS, and C++ for seamless drone operations, leading to the successful execution of autonomous UAV missions in 25 countries.- Designed and implemented a Precision Landing Dashboard using Kibana, enhancing UAV landing accuracy through a sophisticated error monitoring and real-time alert system, improving operational safety and efficiency in debugging and preventing fatal failures.- Developed a Flight Systems Checker application in Java for Odroid platforms, enhancing UAV mission critical reliability through dynamic programming and systems integration, significantly reducing system failures during operations.

- Led the creation of India’s first Automated CPR Machine implementing embedded software - C++, rapid prototyping, systems integration and robust engineering practices within a budget of $2000, deployed at COVID facilities across India.- Developed a unique Medical Assistance Robot platform for medicine and food delivery, vitals monitoring, self-diagnostics, patient-relative interaction, and remote/mobile ECG/PPG. Deployed in COVID facilities across India, significantly reducing healthcare personnel infection rates.- Engineered a wrist oximeter for continuous SpO2 monitoring, leveraging C++ for embedded systems, significantly enhancing patient care through innovative design and reliable telemetry for 24/7 vital tracking.- Developed embedded software for a Liner Diameter Measurement (LDM) device in C++, integrating laser sensors and telemetry for real-time fault detection in ship engines, enhancing predictive maintenance practices with precise volumetric analysis.Technologies: Control design, Control systems, Path planning, Localization, SLAM, Telemetry, Sensor fusion, Embedded Systems, Embedded software programming, System Integration, Software development, Software engineering, ROS, Python, C++