About

V.V. Siva Ram is a highly experienced Software Engineer at Google with a strong background in building deep learning solutions for real-world video analytics based on computer vision. He is also skilled in full-stack development and has combined these skills to build an end-to-end video AI platform at https://deeplabel.app. Currently working at Google as a Software Engineer, Siva Ram has previously worked as a Full-stack Deep Learning Engineer at Streamingo, where he was responsible for architecting, developing, and maintaining deeplabel.app for video action and object detection and classification. He has also built REST API microservices for structuring datasets, labeling, review, and inference with RBAC (Role Based Access Control), event-driven asynchronous services for automated labeling, training, and inference with RabbitMQ, and custom inference pipeline DAGs or ML workflows (similar to Kubeflow). Siva Ram has also worked at Tricon Infotech as a Software Engineer, where he built a mobile app to read the entire collection of CK-12 FlexBook® textbooks even when offline. He developed the app to target multiple platforms iOS & Android using open-source Cordova, built a feature to download Flexbooks® with dynamic UI to view continuous progress updates, and used File System API to store images and Pouch DB with SQLite plugin to save the downloaded books. Siva Ram holds a Bachelor's degree in Metallurgical Engineering from the Indian Institute of Technology, Madras, and has completed his Intermediate Education in MPC from Sri Chaitanya Jr. College and his Secondary Education from Nagarjuna E.M School. With a relevant experience of 8.62 years, Siva Ram has expertise in various technologies such as Deep Learning, AI, Object detection, Object Detection, Computer Vision, RabbitMQ, Keras, Redis, Kubernetes, ML, Elastic Search, Microservices, Backend, Senior Software Engineer, Web, Android, iOS, Mobile, and UI.