# About Me I'm a Robotics and Embedded Product Development Engineer with extensive experience in designing and deploying embedded hardware and software solutions for early-stage startups. I specialize in creating end-to-end products, from initial requirements gathering to market-ready manufacturing. ![[profile.jpg]] --- **Email**: [[email protected]](mailto:[email protected]) **Degree**: - Worcester Polytechnic Institute: Masters in Robotics and Automation Engineering - Pandit Deendayal Energy University: Bachelors in Electrical Engineering --- I have been working for 6 years where I work in Robotics from Embedded Domain focusing on Low Level Firmware and System Design. I have masters from WPI in robotics where i have focus in controls and motion planning. I have worked with young stage startup through my whole career where we have launch over 7 products in market from ideation to release and support post that. My driver and fulfilment for the day comes from hands-on multi-domain robotics which interests me to new projects! --- # Professional Experience ## Software Engineer - Rust Developer, *Luminar Technologies* - Develop customer-facing Rust libraries to provide intuitive, high-performance interfaces for automotive LiDAR systems, enabling seamless integration for end users. - Design and implement robust automotive protocol parsers to translate complex, low-level LiDAR data streams into accessible and developer-friendly APIs. - Collaborate closely with cross-functional hardware, firmware, and customer engineering teams to deliver scalable, production-ready software solutions for advanced driver-assistance systems (ADAS) and autonomous applications. ## Senior Robotics Embedded Controls Engineer, *Stealth Startup* - Led the architecture and development of a complex, distributed robotics system composed of multiple embedded MCUs, high-performance compute units, and advanced vision sensors, ensuring seamless system-wide communication, data flow, and power management. - Designed the real-time software infrastructure achieving sub-10 ms control loop latency across autonomous mobile robot (AMR) platforms using micro-ROS, CANopen, and ROS2 Humble for deterministic, low-latency operations. - Built and led a high-performing, cross-disciplinary engineering team of 8, driving key hiring decisions, mentoring engineers, and overseeing the development of safety-critical systems compliant with ISO functional safety standards. ## **Control Systems Engineer**, *DEKA Research and Development* - Improved an analytical closed-loop insulin control system by integrating multi-threading capabilities in C++ for machine learning model training, after adapting the system for Linux compatibility. This enhancement achieved a significant 96.7% reduction in runtime. - Developed PLC systems cabinets with communication protocols like Ethernet, USB, RS-232, and RS-485 for an automated assembly line aimed at Quality Assurance for biomedical devices which improved quality identification accuracy by 18% and reduced part rejection cost by 16% per unit. - Developed a Simulator for Type 1 Diabetic Patients to model meal-insulin response essential for developing a controller-based insulin pump using ANSI C. Ensured cross-platform compatibility, conducted unit testing, and improved data collection speeds by 840% and reduced research cycle time by 98.6%. - Developed C++/ROS based Robust and Self Correcting tightly coupled LIDAR, Vision and IMU Based Algorithm for Autonomous Simultaneous Localization and Mapping (SLAM) for x86 Architecture with improved algorithm performance by CPU Load Balancing using Parallel Processing on Frame Data, reducing processing time by 23% ## **Computational Scientist**, *Worcester Polytechnic Institute* - Developed a mobile platform framework for generating 3D Visualization Models for University Labs to construct a platform meant for Virtual tours which enabled immersive virtual tours for prospective students and individuals facing travel challenges, significantly enhancing accessibility and engagement. - Focused on developing a framework for Camera, IMU and LIDAR-based sensor fusion for localization to implement NERF (Neural Radiance Fields) based environment reconstruction and designing a Human-Robot Interaction platform to enhance user experience and interaction capabilities. ## **Augmented Reality Developer**, *Worcester Polytechnic Institute* - I was privileged to be part of an exciting Augmented Reality (AR) project that has the potential to reshape how technicians work. Our focus was to empower technicians with hands-free data visualization. - **Hands-Free Data Visualization**: I led the development of an AR application that allowed technicians to visualize critical data, graphs, and readings from tools like multimeter without taking their hands off their tasks. - **User-Centric Design**: Drawing from my experience in designing seamless hardware-software compatibility for remote control integration, we ensured our AR app was intuitive and user-friendly, enabling technicians of all levels to adapt effortlessly. - **Real-time Insights**: Helping technicians make informed decisions on the spot and significantly reducing errors. ## **Embedded Systems Engineer**, *Ecologic Pvt Ltd* - Developed environmental sensory products for ATMEL Architecture MCUs following SDLC to develop modular software stack that garnered USD 40,000 in funding by addressing market needs for user friendly home safety products. - Developed AWS IoT Core based smart automation products using FreeRTOS and C++ to set up easy and maintainable large-scale biodynamic farms which reduces labor costs by 39%. ## **Embedded Systems Engineer**, *Dash Dot Robotics* - Developed an IoT-supported Smart Warehouse Inventory Management System to track inventory using MQTT enabled, and AWS connected for remote monitoring and real-time inventory tracking which reduced management time by 9% and improved labour costing by 9.4%. - Developed the firmware in C++ based on Platform IO following the Software Development Lifecycle (SDLC) with Unit testing for ATMEL Architecture and CMake for embedded programming, deployment, and automated testing. --- # Research Experience ## Collaborative Simultaneous Localization and Mapping (SLAM) for Low-End Swarm Robots > C++, ROS, Gazebo | June' 24 - Aug' 24 - Developed and deployed a decentralized collaborative SLAM system for Homogeneous swarm robots, enhancing autonomous navigation through lightweight occupancy grid map development focusing on robot count scalability and simpler map merging with dimensional error under 2.5%. ## Advanced SLAM Algorithms Implementation and Analysis > C++, Python, ROS, Gazebo | Sept’23 – Dec’23 - Deployed, Tested and Analyzed innovative SLAM technologies, including LIMO, LVI-SAM, LIO-SAM, VINS-MONO, Faster-LIO, LOAM, and EMV-LIO, to benchmark their performance and finding key metrics such as accuracy, environment layout, and robustness under various conditions while critically analyzing and adapting these frameworks to enhance their functionality and performance. --- # Portfolio - [[projects_index|My Projects]] - [[product_index|Product I have Made]] # Other Items - [[annotated_paper_index|Annotated Papers]] - [[Study Notes|My Study Notes]] --- # Education ## M.S. Robotics & Automation Engineering > GPA 3.89 > Worcester Polytechnic Institute, Worcester, MA - **Foundation of Robotics:** RBE 500 - **Robot Controls:** RBE502 - **Human Robot Interaction:** RBE526 - **Motion Planning:** RBE 550 - **Soft Robotics:** RBE 530 - **Swarm Intelligence:** RBE 595 - **Robot Dynamics:** RBE501 ## Extended Studies > UC San Diego Extended Studies - **Advanced Digital Systems Design:** ECE 574 - **Project Management:** MIS 576 ## B.Tech Electrical Engineering > CGPA 9.08 > Pandit Deendayal Energy University, Gujarat, India --- # Achievements - Awarded **INR 1,00,000** grant by the **Government of Gujarat, India**, to launch a startup researching multi tool heads for 3D printers, reducing prototyping time by 86% and costs by 18%. - Secured **$10,000** in funding from **Worcester Polytechnic Institute** to develop an advanced robotics mobile platform for 3D scanning and reconstruction, significantly enhancing accessibility and engagement. --- # Certification ## Machine Learning Specialization 1. [Supervised Machine Learning: Regression and Classification](https://www.coursera.org/account/accomplishments/verify/3Y9TQTRSDWUD) [[ml-1.png | Certificate]] 2. [Advanced Learning Algorithms](https://www.coursera.org/account/accomplishments/verify/6H3T4L29269M) [[ml-2.png | Certificate]] --- # Contact Feel free to reach out to discuss any possible job opportunities, any fun project to collaborate or just ping me if you want to form a new connection. > Email: [[email protected]](mailto:[email protected])