# Rishabh Shukla > SDE2 at AWS | ex-GreenSight Robotics co-op | Computer Vision | ML Location: Boston, Massachusetts, United States Profile: https://flows.cv/rishabhshukla I am a Graduate Research Assistant at Northeastern University with a major in Robotics and specialization in Computer Vision, Deep Learning, Mapping, and Localization. I am currently working on a Hololens project as a Research Assistant focusing on Pose Estimation of target models. Before this, I was working with the GENESYS lab on Multi-Drone coordination and setting up an Inertial Navigation System along with research in mapping and localization using sensor fusion and machine learning. During my co-op at GreenSight Agronomics as a Robotics Engineer intern I had the chance to work on simulation and hardware control of a robotic arm (manipulator) and to stabilize its motion in a dynamic environment. I was also involved in a 6 DOF Pose Estimation project where I worked to improve the accuracy of the estimated pose using coordinate transformations of a known object. My interests lie in the domain of Machine Learning, Computer Vision and 3D space on tasks like object detection, point cloud segmentation along with SLAM and Frontier Exploration all of which I have had the chance to gain experience through my academic projects. I worked as a Computer Vision and Machine Learning Developer at InVideo making Intelligent Videos for media companies by employing state-of-the-art open-source packages and libraries. ## Work Experience ### Software Development Engineer 2 @ Amazon Web Services (AWS) Jan 2023 – Present | Boston, MA • Successfully integrated and rolled out enterprise-scale encryption features across distributed storage platforms • Architected cloud infrastructure automation and multi-environment deployment pipelines using AWS CDK • Developed comprehensive monitoring and observability solutions for distributed systems • Demonstrated technical leadership through successful intern mentorship and cross-team collaborations • Enhanced platform stability through performance optimizations and critical system improvements • Established robust documentation and testing frameworks for enterprise-scale systems ### Software Development Engineer @ Amazon Web Services (AWS) Jan 2022 – Jan 2023 | Boston, Massachusetts, United States • Implemented and integrated deployment automation systems for distributed server infrastructure • Led cross-team efforts to enable critical operational features for production fleet management • Designed and developed secure authentication mechanisms for volume management systems • Built and maintained multiple CI/CD pipelines for testing and production deployments • Enhanced system reliability through automated monitoring and alerting solutions ### Graduate Research Assistant - Genesys Lab @ Northeastern University Jan 2021 – Jan 2021 | Boston, Massachusetts, United States ● Worked on a Reinforcement Learning Project where I used an Actor-Critic DDPG Model Implementation (Python, Tensorflow) on Turtlebot3 inside ROS and Gazebo framework to navigate multiple turtlebots inside a Dynamic Environment towards their respective targets. ● Helped a set up a rudimentary sensor fusion improvisation where the DDPG model was trained over the 2d LiDAR and depth camera information. ### Robotics Engineer Intern @ GreenSight Jan 2020 – Jan 2021 | Boston, Massachusetts, United States ●Worked on 3D Pose Estimation with coordinate transforms on a 3D polygon having multiple Arucos placed on its surface. ●Achieved high level of control of a robotic arm employing MoveIt! library and its low-level C++ API MoveItCpp along with ROS to perform dexterous motion in Gazebo simulation. ●Realized simulation control system of robotic arm on hardware via its robotics suite and ROS for real-time control. ### Graduate Research Assistant - Genesys Lab @ Northeastern University Jan 2020 – Jan 2020 | Boston, Massachusetts, United States ●Processed camera images from Drones to perform Object Tracking in Python using Contour properties and OpenCV Trackers. ●Set up a ROS interface between Nvidia Jetson TX2 and DJI Drone M100|M600 to control multiple drones via a master node. ●Programmed a C++ ROS Node which controls two UAVs to perform a set of motion planning tasks (Sensors: GPS and IMU). ●Designed an Inertial Navigation System along with a PD controller to navigate DJI drones in an unknown environment. ### Computer Vision and Machine Learning Developer @ InVideo Jan 2018 – Jan 2019 | Mumbai, Maharashtra, India ------www.invideo.io------ Ensured appropriate placement of assets and effects in the video frames by employing Object Detection. Handled responses from IBM Watson in order to make the Natural Language Processing smarter and yield relevant results. Worked on AWS Lambda to create a function that performs image optimisation thereby saving front-end load time. ### Software Engineer @ Accenture Jan 2018 – Jan 2018 | Mumbai, Maharashtra, India ### Associate Software Engineer @ Accenture Jan 2016 – Jan 2018 | Mumbai Area, India ### Electronics Specialist @ Silverhawks Jan 2015 – Jan 2016 | Mumbai, Maharashtra, India As the head of the team handling the electronics of the Plane, I along with my team researched on how the BLDC motors, weight of the aircraft and the speed of the motors factor into the take-off and air travel of a Plane. We decided the type of rechargeable battery we would use depending upon the run time it provides and the weight it bears. We contributed in the designing of the aircraft by providing measurements and space requirements for the electronic equipments. ### Chief Executive @ ENGage - Non Profit Organization Jan 2015 – Jan 2016 | Mumbai, Maharashtra, India ### Creative Head @ IEEE Jan 2014 – Jan 2015 | Mumbai, Maharashtra, India ## Education ### Master of Science in Computer Vision, Machine Learning and Robotics Northeastern University ### Bachelor of Engineering (B.E.) in Electronics and Telecommunications Engineering Thakur College Of Engineering and Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/rishabhgks --- Source: https://flows.cv/rishabhshukla JSON Resume: https://flows.cv/rishabhshukla/resume.json Last updated: 2026-03-28