# 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! --- # Open-Source Contributions ## [Unified Diagnostics Services (UDS) Protocol](https://crates.io/crates/uds_protocol) - UDS Protocol Library developed natively in rust for encoding and decoding ISO 14229-1:2020 standard compliant messages # Professional Experience ## Software Engineer - Rust Developer, *Luminar Technologies* - Develop customer-facing Rust libraries to provide high-performance interfaces for automotive LiDAR systems, enabling seamless integration for OEMs and Tier-1 suppliers. - Design and implement a robust automotive protocol that integrates DOIP, SOME/IP and UDS to translate low-level LiDAR data streams into developer-friendly APIs, reducing integration time by 40%. - Collaborate with hardware, firmware, and customer engineering teams to deliver scalable software solutions for ADAS and autonomous vehicle 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* - Optimized closed-loop insulin control system by implementing multi-threading in C++ for ML algorithms, reducing runtime by 96.7% and improving real-time performance. - Designed PLC system cabinets with industrial communication protocols (ethernet / IP, USB, RS-232, RS-485) for biomedical QA, improving quality accuracy by 18%. - Developed a Type 1 diabetes meal insulin response simulator in ANSI C, increasing data collection speed by 840% and reducing research iteration time by 98.6%. - Created a C++ / ROS-based SLAM algorithm integrating LIDAR, vision, and IMU with parallel processing, reducing processing time by 23%. ## **Robotics Systems Engineer**, *Worcester Polytechnic Institute* - Developed mobile robotics platform for generating 3D visualization models using embedded vision systems, enhancing accessibility for virtual campus tours. - Engineered sensor fusion framework integrating camera, IMU, and LiDAR data for real-time localization that supports NeRF-based environment reconstruction. - Containerized embedded system components using Docker and implemented CI/CD pipelines for streamlined testing and deployment across development environments. - Provided comprehensive training to 20+ university staff on system maintenance and troubleshooting procedures. ## **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 sensing products for ATMEL AVR MCUs following SDLC, creating modular firmware stack that secured $40,000 in funding for home safety solutions. - Designed AWS IoT Core-based smart automation products using FreeRTOS and C++, enabling scalable deployment in biodynamic farms and reducing labor costs by 39%. - Complete IoT system deployed with MQTT communication and AWS integration in 40+ units, establishing a robust framework for remote monitoring and control. ## **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])