About

Rengasami R is a highly experienced Staff Software Engineer at Google, with a passion for solving problems that can make the world smarter. With over 15 years of experience in the field, Rengasami has a deep understanding of distributed systems, NLP, ML, and deep learning. He is heavily interested in causal learning, Graph Neural Networks, and Large scale distributed systems, and has worked on building ML vision, roadmap, and teams for corporate data. Rengasami has a strong background in developing software for large-scale distributed systems, with experience in Android, Linux Kernel, and app memory optimization. He has worked as a Senior software development engineer at Amazon Kindle recommendation cards, where he built abstractive summarization-based recommendation cards and models for making recommendations for early life customers and stalled customers. He has also worked as a software development engineer on Kindle Fire phone reader application, building many reading features for Kindle. At Google, Rengasami is working on Graph Neural Networks, NLP, Deep Learning, and ML Ops to build innovative products on corporate data. He is responsible for building intelligence with app store for app sensitivity prediction using ML. Rengasami holds a Bachelor's degree in Physics from Ramakrishna Mission Vivekananda College and attended PKN Hr. Sec. School. He is a highly skilled software engineer with expertise in ML, Deep Learning, NLP, Neural Networks, Backend, Android, and Web. With his relevant experience and passion for solving complex problems, Rengasami is a valuable asset to any team.