# Shiva Nathan > Backend / Embedded / Full-Stack Software Engineer with Robotics and Automotive Experience Location: Somerville, Massachusetts, United States Profile: https://flows.cv/shivanathan For the past eight years I have designed, implemented, debugged, and maintained both full-stack and embedded software in C, C#, Python, and MATLAB to support robotics, automotive, and aircraft development. I possess a firm theoretical understanding of computer vision/perception, machine learning, and robotic navigation algorithms, coupled with practical experience implementing such algorithms and knowledge of controls systems and robot kinematics & dynamics. My experiences have also equipped me with strong communication and collaboration skills, a willingness to explore unconventional solutions, and a self-driven work ethic. ## Work Experience ### Technical Staff @ Assemble Robotics Jan 2026 – Present Building the first truly universal robotics platform, a plug and play ecosystem where smart, modular hardware seamlessly integrates with unified software ### Software Engineer @ Amazon Fulfillment Technologies & Robotics Jan 2024 – Jan 2025 Contracted at Amazon Robotics to support projects like Sequoia and Sparrow at their distribution centers. Wrote low-level control software in Codesys and high-level robot orchestration software in Kotlin Supported expansion of robotics monitoring software and tools through AWS CDK in Typescript ### Software Engineer @ Berkshire Grey Jan 2023 – Jan 2024 | Massachusetts, United States Wrote Python software for command & control of robotic shuttle picking systems used in autonomouis warehouse fulfillment for major retail and delivery chains such as FedEx and Bealls Inc. ### Full Stack Engineer @ SmarterTravel Jan 2022 – Jan 2023 | Boston, Massachusetts, United States Worked as part of a multidisciplinary team across the United States and Portugal to maintain, update, and service content relations media, email database systems, and advertising integration for multiple websites, including Oyster.com, collectively bringing in over half a million dollars in revenue per year. ### Controls Engineer @ XL Fleet Jan 2020 – Jan 2022 Single-handedly maintained and upgraded internal production and diagnostic tools crucial for vehicle upfitting and maintenance using Python and Qt. Developed and validated automotive control software for hybrid vehicles in C. Integrated new hybrid components (batteries, motor controllers, chargers, etc) into prototype vehicle platforms. Performed troubleshooting of faulty vehicles and diagnosing / fixing software-related issues with tools such as ATI Vision, IPEmotion, BusMaster, and Kvaser CanKing. Became proficient in CAN communication protocols. Trained other employees on the use of in-house and external tools and workflows. ### Software Engineer Intern @ Crane Payment Innovations Jan 2019 – Jan 2019 | Greater Philadelphia Area Designed and wrote tool in C# for fully automated regression testing of vending machine bill validators, featuring: – Independent Modules for Test Case Development, Execution, and Library – Product State Machine Verification – Negative use cases, looping test cases, power-up scenarios – Real-time logging of test results and bill validator internal diagnostics – Easy-to-learn, fully graphical user interface • Wrote all documentation for both implemented changes and pre-existing codebase to aid future development and maintenance. • Tool was crucial for internal manufacturing and testing teams to maintain pace of product research, development, and manufacture. ### Software Engineering Intern @ XL Fleet Electrification Jan 2018 – Jan 2018 Designed and implemented numerous feature additions, software optimizations, and user interface redesigns to improve internal automotive diagnostic and programming tools using Python and Qt. • Improved speed, robustness, user-friendliness, troubleshooting functionality, and security of automotive CHCM software programming tool and automotive diagnostic tool. • Improvements to tools made it possible for company to successfully expand and begin vehicle production at a new facility in Quincy, IL. • Set up framework for scalable, Tensorflow-based machine-learning and computer-vision system on a Raspberry Pi. ### Research Assistant @ Microdynamics Systems Laboratory - Carnegie Mellon University Jan 2018 – Jan 2018 | United States Under Ralph Hollis, supported development on Ballbot: a dynamically stable mobile robot with applications in healthcare and human-computer interaction. Wrote Python software using OpenCV and ROS to enable Ballbot to recognize human beings and determine its distance from recognized humans. ### Software Engineering Intern @ United Technologies Jan 2017 – Jan 2017 | Greater Boston Area Set up version control systems, wrote user interfaces to simplify data filtration, and implemented dynamic setting configuration to support autonomous aircraft control development programs. ### Engineering Intern @ Lightower Fiber Networks Jan 2016 – Jan 2016 | United States Maintained and performed data cleaning of internal network engineering databases crucial to maintaining fiber-optic networks all across the East Coast. ### Electrical Engineering Intern @ United Technologies Jan 2016 – Jan 2016 | Westford, MA Set up NVIDIA Jetson TX1 embedded module for use in computer vision and machine learning applications. Documented new chipset designs for use in high-altitude imaging systems by creating graphical, color-coded diagrams to outline chipset designs proposed by the IRAD team. Analyzed and reported on the capabilities of new equipment that the IRAD team planned to purchase for use. ### Student Researcher @ Northeastern University Jan 2015 – Jan 2015 | Boston, MA Developed new radar-imaging security systems under Dr. Carey Rappaport (Professor of Electrical and Computer Engineering at Northeastern University). Assisted engineering team in manufacturing materials for and constructing prototype of radar systems. Worked on software team to develop algorithms for mapping the outlines of a body passing through the system based on radar reflections off the body. Presented work at conference hosted by the University. Entered as 1 of 25 students accepted into the prestigious Northeastern University Young Scholars Program. ## Education ### Bachelor's degree in Electrical and Electronics Engineering Carnegie Mellon University ### Electrical and Electronics Engineering Carnegie Mellon University ## Contact & Social - LinkedIn: https://linkedin.com/in/shiva-nathan-596286123 --- Source: https://flows.cv/shivanathan JSON Resume: https://flows.cv/shivanathan/resume.json Last updated: 2026-03-28