About

Vaibhav Gupta is a seasoned software professional with over 13 years of diverse experience in technologies, domains, and companies of varied stage and size. He is a founding engineer in three startups and has built products from scratch. Vaibhav is a hands-on full-stack engineer and data engineer who has led small engineering teams. He has also worn intermittent hats in project management, product management, solutioning, customer success, recruiting, and marketing for understaffed startups. Vaibhav loves helping the staff technically, culturally, and personally. He keeps himself updated with leadership blogs, HBR insights, tech pulse, etc. and tries to apply those tips on the field. His style mostly consists of pragmatism, instead of pure ideologies. Vaibhav thrives for strategic correctness. His domains of expertise include Cloud, Mobility, Healthcare, ERP, and SaaS. Vaibhav holds a Bachelor's and Master's Degree (integrated) in Computer Science from IIT Madras. His mentors have been sharp and experienced leaders of the dot com era. Currently, he works as a Principal Software Development Engineer at Kensci, where he is building a platform for workflows in machine learning use cases in the healthcare domain. Kensci is a series-B startup headquartered in Seattle that works in ML modeling of healthcare use cases, with major clients being hospital chains. Prior to Kensci, Vaibhav worked as a Senior Software Engineer and Founding Engineer of the India Center. He worked on multiple projects as an IC and led a few key projects. He developed microservices for the ML platform, data catalog, and SaaS-based healthcare apps suite for clinical workflows. Vaibhav also authored a data transformer for patient workflow data pipeline for public datasets (mimic3) and a PoC for building a DAG-styled server-less distributed computing framework. He contributed to the development of a data visualization platform and managed contractors, UI team, server team, sprints tracking, delivery tracking, and organizing scrums. His tech stack includes Spark, Databricks, Python, Angularjs, Reactjs, Azure, Docker, BigData Tech, C#, and .NET. Vaibhav has also worked as a freelancer, providing IT enablement and development for algo trading and retail businesses. He solved use cases such as building trade automation (rule-based trading, option strategies, trading API) for HNIs. He solved e2e inventory management,