Sathish Kumar Katukuri

Sathish Kumar Katukuri has a diverse work experience in various roles and companies. Sathish Kumar started their career as an intern at Broadcom in 2014. Sathish Kumar then worked as a software developer at Huawei Technologies from 2014 to 2017, where they made significant contributions to the network configuration protocol NETCONF team.

In 2018, Sathish joined METEOR Studio at Arizona State University as a graduate research assistant. During their time there, they focused on their graduate thesis on viewpoint recommendation for aesthetic photography. Sathish Kumar implemented a framework for recommending the best camera pose for capturing visually pleasing photographs.

In 2019, Sathish joined The Luminosity Lab and worked as a software developer in the field of autonomous vehicle perception. Sathish Kumar integrated LIDAR and camera into the perception software stack and trained YOLOv3 for object detection on various datasets. Sathish Kumar also implemented the Error-State Extended Kalman Filter (ES-EKF) for vehicle localization using sensor fusion.

Currently, Sathish is working at Hosta a.i. as a computer vision engineer. Sathish Kumar started in 2020 and is currently in the position of senior computer vision engineer. Their roles at Hosta a.i. involve developing computer vision algorithms and technologies.

Overall, Sathish Kumar Katukuri has demonstrated their expertise in computer vision engineering, software development, and research in multiple industries.

Sathish Kumar Katukuri has a Masters of Science in Computer Engineering (Autonomous Systems & Robotics) from Arizona State University, which they obtained from 2017 to 2019. Prior to that, they completed a Masters in Electronics and Communication Engineering from Birla Institute of Technology and Science, Pilani, graduating in 2014.

In addition to their formal education, Sathish has obtained several certifications from Coursera. These include the Self-Driving Car Specialization Certificate in 2019, as well as certifications in Motion Planning for Self-Driving Cars, Visual Perception for Self-Driving Cars, Introduction to Self-Driving Cars, State Estimation and Localization for Self-Driving Cars, Sequence Models, Convolutional Neural Networks, Neural Networks and Deep Learning, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, and Structuring Machine Learning Projects, all obtained in 2019 and 2020 from the Coursera platform.