Siddalingesha S is a software engineer with ~5 years of experience specializing in device-side software and machine learning, currently contributing to the AWS DeepRacer team. He holds an M.S. in Computer Science (Data Science) from USC and has built practical NLP/ML solutions—ranging from unsupervised document classification and image tagging pipelines on Google Cloud to a domain-specific Named Entity Recognizer for oilfield entities at Schlumberger. Earlier roles at Cisco exposed him to supply chain ERP (Oracle Demantra/ADF), iOS app development, and full-stack web tooling, giving him a rare blend of enterprise systems and hands-on ML product work. He also co-founded a three-person student startup where he led technical development and customer-focused strategy, underscoring his product sensibility in addition to engineering. Located in Burlingame, CA, he’s interested in advancing NLP and ML applications that bridge cloud services and edge/device deployments.
5 years of coding experience
Mysore Kirloskar Educational Trust's Lakshmanrao Kirloskar English Medium School
Bachelor of Engineering (B.E.), Computer Science and Engineering, 9.01, Bachelor of Engineering (B.E.), Computer Science and Engineering, 9.01 at PES Institue of Techonolgy
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Southern California Viterbi School of Engineering
The DeepRacer Sensor Fusion ROS package creates the sensor_fusion_node that is responsible for collecting the messages from all the sensors (Camera+LiDAR) and publish the combined sensor message.
Contributions:13 commits, 2 PRs, 6 pushes in 7 months
publishros-packagesensor-fusionsensorscamera
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