Kaustubh Lall

About Kaustubh Lall

I hold a BS in Computer Engineering and a Masters in ML/AI. With nearly three years of industry experience, I served as a founding engineer for a startup. I have a strong background in algorithms, statistical learning, computer vision, natural language and generative AI. I can break down, architect and deploy solutions to complex problems and have expertise in leveraging my knowledge of AWS, databases and APIs to implement my solutions. I am looking to expand and utilize my skills to solve emerging problems using AI. This could include finding and coalescing datasets, developing or tuning models, evaluating performance and monitoring in deployment. I\'m a graduate of UCSD with a Master\'s degree in Machine Learning and Data Science, and I am passionate about leveraging my skills and experience to help organizations improve their operations, drive innovation, and achieve their business objectives. When I\'m not working on exciting projects, I enjoy competing in games and exploring different parts of the country as a nomad. I\'m a quirky and open-minded individual who believes that humor is important in life. I strive to bring a fresh perspective to any project and a positive attitude to any conversation. If you\'re interested in learning more about how I can help you and your organization, feel free to reach out!

Experience

1. Machine Learning Engineer

   Radicle Science

   Jun 2021 — Present

   As a founding ML Engineer at Radicle Science, I play a critical role in automating and pipelining direct-to- consumer clinical trials. I wear a lot of ML Engineering, Data Science and Software Engineering hats, have a broad set of skills with a specialization in ML and analysis. Core responsibilities include: 1. Design, train, optimize and deploy various ML models for inference, prediction, tagging and reccomendation. Perform ETL and data aggregation tasks, and automate as…