# Nigam Katta > TERADAR | MS Robotics at Georgia Tech | ex - LIDAR LAB | ex- HUTLAB Location: Boston, Massachusetts, United States Profile: https://flows.cv/nigam I am a highly skilled robotics engineer with experience in both the software and algorithmic aspects of robotics. I have a strong background in deep learning, SLAM, and sensor fusion, and I have applied these skills in a range of projects, including work as a software engineer in the field of ADAS and the development of an object tracking system using filters, sensor fusion, and data association techniques. In addition, I have contributed to several robotic projects as a student researcher, including an urban search and rescue robot that can autonomously save victims in disaster circumstances. I have also participated in international robotic competitions, such as RoboCup and World Robot Summit, and I am constantly seeking opportunities to learn and grow my skills in the field of robotics. I am confident in my abilities and believe that I could be a valuable asset to any team. ## Work Experience ### Software Engineer @ TeraDAR Jan 2024 – Present | Cambridge, Massachusetts, United States ### Software Engineer Internship @ TeraDAR Jan 2024 – Jan 2024 | Cambridge, Massachusetts, United States ### Graduate Student Researcher @ Laboratory for Intelligent Decision and Autonomous Robots (LIDAR Lab) Jan 2023 – Jan 2024 | Atlanta, Georgia, United States As a researcher, I'm immersed in a groundbreaking project focused on the social navigation of humanoid robots, split into two pivotal modules. The first module involves crafting a modified YOLO-based model tailored to process point cloud data, ensuring precise detection of human coordinates pivotal for seamless navigation. Transitioning to the second module, I dive into datasets like ZARA, Student, and multiple trajectory prediction datasets to engineer a specialized deep learning model. This empowers our robot to intricately learn human movement patterns within bustling environments. By applying this knowledge, our Digit humanoid robot adeptly navigates, generating and following waypoints derived from learned human navigation behaviors in dense settings. This elevates its adaptability, enabling fluid movement in crowded environments. ### Graduate Teaching Assistant @ Georgia Institute of Technology Jan 2023 – Jan 2024 | United States GTA for CS 4641/7641 Machine Learning Engage actively in guiding students through intricate machine learning concepts, offering comprehensive support and clarifications to bolster their understanding. Provide hands-on assistance in navigating diverse projects, ensuring students grasp fundamental and advanced ML principles effectively. ### Intern IV: PathWave Measurement Analytics Software @ Keysight Technologies Jan 2023 – Jan 2023 | United States During my Keysight Technologies internship, I spearheaded Cpk plugin development for PathWave Analytics, elevating its analytics with Process Capability Analysis and advanced statistical insights. I refined the plugin with outlier detection and precise data filtration. I also revamped the Cygnet project's front end, integrating intricate UI elements for a structured CPK report display. Simultaneously, I optimized both frontend and backend code using Angular and Python, while seamlessly integrating CPK analysis. This diagnostic tool unveiled critical dataset insights, driving substantial customer interest and a significant bulk order due to its impactful features. ### Software Engineer @ MulticoreWare Jan 2020 – Jan 2022 | Chennai, Tamil Nadu, India I leverage a robust foundation in machine learning and DSP optimization. In a recent project, I fused mathematics and C++ expertise to craft kernels for machine learning algorithms and CNN layers like Resnet and VGGNet, tailored for a CEVA DSP. I optimized these kernels using vectorization, SIMD techniques, and strategies like loop unrolling to amplify processing speeds. Crucially, I aligned the kernel design with the DSP architecture to maximize its unique capabilities. This journey showcased my strong grasp of math, CNN principles, and proficiency in DSP optimization, culminating in successful project completions through technical prowess and problem-solving finesse. ### Intern @ MulticoreWare Jan 2020 – Jan 2020 | Chennai Area, India I specialize in cutting-edge multiple object tracking systems that combine Radar and Lidar sensor fusion. I built crucial modules for clustering, data association, and filtering from scratch. Leveraging the Extended Kalman Filter (EKF) and advanced methods like density-based clustering and PDA association, I achieved an impressive 92% accuracy with the EKF model, showcasing its robustness. This groundbreaking project earned a patent within my company. ### Student Research Assistant @ Humanitarian Technology (HuT) Labs Jan 2018 – Jan 2020 | INDIA I have extensive experience in the design and development of autonomous systems, with a focus on search and rescue robotics. I have led a software team in the creation of a multi-functional rescue robot, integrating various modules and algorithms using ROS as a framework. My responsibilities included control architecture design, 2D/3D SLAM algorithm implementation, control of robotics arm and GUI development. I also used machine learning and CNN models to add features such as hazardous sign detection, fire detection, and person detection, as well as integrating a robotic arm with pick and place capabilities. I am skilled in various programming languages and have a strong ability to troubleshoot and problem-solve. ### Vice Chairman @ IEEE Industrial Electronics Society Jan 2019 – Jan 2020 | India As a part of IEEE IES chairman responsibility, organized a National level IEEE Tech fest “PANCHADASHA”, 2018. Also, conducted several workshops on Robotics to spread awareness on the technologies to students, ### Student Researcher @ Singapore University of Technology and Design (SUTD) Jan 2019 – Jan 2019 | Singapore sTetro: A modular Reconfigurable Staircase Cleaning Robot I have experience in developing and implementing algorithms to enhance the perceptual and functional abilities of robots. In my past project, I used a Deep CNN to improve the robot's ability to detect stairs and developed an autonomous stair climbing algorithm that allowed the robot to modify its shape and function as it climbed. I implemented an encoder and IMU-based PID controller to ensure smooth motion, and I incorporated the feature of detecting and climbing stairs into a cleaning task. I have strong problem-solving skills and am able to apply my knowledge and technical expertise to improve the capabilities of robots. ## Education ### Master of Science - MS in Mechatronics, Robotics, and Automation Engineering Georgia Institute of Technology ### Bachelor's degree in Electrical and Electronics Engineering Amrita University, Amritapuri Campus ### Narayana Junior College - India ## Contact & Social - LinkedIn: https://linkedin.com/in/nigamkatta --- Source: https://flows.cv/nigam JSON Resume: https://flows.cv/nigam/resume.json Last updated: 2026-03-31