With over 10 years of experience in building and leading data & ML related systems and teams, I am the co-founder and CEO of DAGWorks, a startup that helps data practitioners & engineers move faster with data, ML and AI work. We drive two open source projects Hamilton (DAGs/pipelines) and Burr (workflows/agents) to that endeavor. I am also a Y Combinator alum, StartX alum, and a Stanford graduate with a Master of Science in Computer Science with Distinction in Research. My passion is to make others more successful with data, by bridging the gap between data science, machine learning, engineering, and business; specifically how do you go from prototype product to a production grade one. I have expertise in data platforms, model lifecycles, featurization, model serving systems, as well as in natural language processing, speech recognition, and spoken dialog systems. I am a proficient Python developer and a polymath engineer who can work with multiple languages and technologies, where I have often product managed the initiatives I drive. I also contribute to open source projects and advise other startups in the data space. I value good leadership, company culture, and innovation, and I strive to be a humble and effective leader who empowers and enables my team to solve challenging and interesting problems.