About

Keshav Peswani is a skilled Senior Software Engineer at Expedia with over 10 years of relevant experience in distributed systems and data science. He is a Machine Learning Architect and Deep Learning expert with a strong focus on building anomaly detection models and time series analysis using deep learning techniques such as LSTM's and rewards based networks. Keshav has a proven track record of designing and developing automated training pipelines and streamlining anomaly detection using Kafka and Kafka Streams in a cost-effective manner. Keshav is also a core contributor to Haystack, an open-source project that is rapidly being adopted for distributed tracing in fast-growing e-commerce companies. He has designed and implemented several sub-systems under the Haystack umbrella, including Blobs, Tracing, Haystack Agent, Multi-tenancy, and Kubernetes-based deployments. Keshav has also spoken at several conferences, including Strata Data Conference, New York, ODSC (Open Data Science Conference) Bangalore, OSI Bangalore, and ODSC Meetup in Delhi for Haystack and Neural Networks. Before joining Expedia, Keshav worked as a Software Developer II at Snapdeal, where he was responsible for providing interfaces for uploading product information to Snapdeal and publishing data to various downstream systems. He also helped his team adopt TDD and Agile methodologies for improved code stability and faster delivery schedules. Keshav has a strong educational background, having completed his schooling from Somerville School. Keshav's tech stack includes expertise in Software Engineering, Deep Learning, Machine Learning, Data Science, Kafka, Kubernetes, AWS, Terraform, Hyperparameter, Neural Networks, Cassandra, and Microservices. He is a highly skilled and experienced professional with a passion for building scalable and robust systems that solve complex business problems.