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Shriniwas Kadam
Roboticist at Airbus
About
Shriniwas Kadam is a highly skilled Machine Learning Software Engineer with over 4 years of experience in building and deploying AI solutions on Cloud and Edge. He is an expert in Deep Learning, Computer Vision, and Robotics, and has worked with both startups and big companies. Currently working as a Software Engineer at Xoriant, Shriniwas has developed and deployed Motion Deblur and Object Detection solutions on the Jetson Xavier platform for a large American Retail Company. He has also developed Farm Segmentation and Crop Analytics solutions from real-time Satellite Imagery for a Global Chemical Major and engineered Defect Detection and Localization Algorithms for Industrial Mattress Quality Inspection. Shriniwas has built and tested LSTM-AutoEncoder Models from Scratch for Video Anomaly Detection PoC. Prior to his current role, Shriniwas was a Founding Engineer at Citifai, where he worked within a team of 4 to develop and deploy an Object Detection model for real-time identification and grade-wise sorting of municipal plastic waste items. He also oversaw ROS Development for a Conveyor Belt-Camera-Delta Robot-Vacuum Gripper Robotic system. Shriniwas has also worked as a CAE Engineer at Tata, where he delivered Durability and Structural Optimization solutions for Special Vehicle Operations (SVO) at Jaguar-Land Rover ODEC. Shriniwas holds a Bachelor of Technology degree in Mechanical Engineering from Walchand College of Engineering, Sangli, and a Nanodegree in Robotics from Udacity. He is proficient in various technologies, including Software Engineering, Deep Learning, Computer Vision, Object detection, AI, Object Detection, ML, Azure, and Search. With over 8 years of relevant experience, Shriniwas is a highly skilled and dedicated professional who is passionate about developing innovative AI solutions that can make a significant impact on society.
Education Overview
• walchand collge of engineering
Companies Overview
• airbus
• xoriant
• citifai
• tata
Experience Overview
9.6 Years
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