A former quant, Sarah founded Seek AI in 2021. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA.

A veteran technologist with a passion for growing products and organizations, Michael joined Seek AI as CTO in May 2024. He started his software career working on operating systems, both for desktop and mobile devices. Later he joined Google where he built out the cloud services that power more than a billion Android devices. Most recently, Michael was CTO at FullStory, an innovative analytics platform that analyzes qualitative and quantitative data for major enterprises. Outside of work, Michael loves spending time with his family, hacking on side projects, and struggling to learn French.

Matthew joined Seek AI as a Senior Software Engineer in January 2024. He is a Central Michigan University graduate with a Bachelor of Science in Computer Science and Information Technology. Matthew began his career as a Senior Intern Software Engineer and Help Desk Technician at Central Michigan University College of Medicine. He was later recruited by Cerner Corporation (now Oracle Cerner) and Rocket Mortgage where he continued to lead high profile projects, develop innovative solutions, and mentor team members to foster a cohesive environment.

Joseph is a graduate of St. John’s College, where he fostered his ability and passion for creative thinking and front-end engineering. After graduating, Joseph served as QA lead and developer for several applications. The impact of these applications ranged all the way from nationwide, in the grants management space, to an individual level, in personal health tracking. Since joining Seek, Joseph has contributed to Seek’s continually evolving web application.

Alex joined Seek AI as a Senior Full Stack Engineer in May 2024. He is a graduate of the University of Pennsylvania, where he earned a Bachelor of Engineering and Applied Sciences in Computer Science and minored in Fine Arts, Math, and Data Science. Alex began his career at Two Sigma Insurance Quantified, where he worked on a wide range of projects, from developing a compiler for a functional language to represent insurance products to full stack product feature work, including building data ingestion pipelines and enhancing user interfaces. His role involved collaborating with cross-functional teams to deliver high-quality, scalable solutions. Outside of work, Alex enjoys skiing, sewing, and working on his video game, combining his technical skills with his creative passions.

Clara is a curious data analyst who joined Seek AI in June 2023. Her current focus is to help develop the company's AI-powered SQL generation for our customers, having faced the very issues they face in her prior roles as a data analyst for several companies. Clara is passionate about making STEM accessible, and previously founded multiple organizations: one at her alma mater University of California, Santa Barbara for underrepresented groups in physics, and later at her grad school at Georgia Institute of Technology. Outside of work, Clara is a lover of travel and languages (including scripting languages)!

Utkarsh is a graduate student in Computer Engineering with a focus in Machine Learning at NYU. Utkarsh is originally from India and prior to joining Seek has worked in the field of VR for Cosm Immersive and developed live streaming applications. As a NLP researcher at Seek, Utkarsh will be focused on leveraging Large Language Models to understand and automate answering business queries.

Zach is a Sr. Machine Learning Operations Engineer ensuring that the Machine Learning team at Seek is building scalable AI/ML services via repeatable patterns. He has a passion for data and has worked in a variety of industries including finance, capital markets, and supply chain. Zach has experience as both an individual contributor and leader in the data analytics, data science, and Machine Learning Operations (MLOps) spaces. Zach earned his Masters degree in Data Analytics from Penn State and his undergraduate degree in Mathematics from Eastern Michigan University.

Eric is a UI/UX designer who does all things design-related. At Seek he has worked on projects from app interfaces to animations. A graduate of RISD, Eric has a bachelor in Industrial Design and a concentration in creative coding. He was recently a researcher at RISD + Hyundai Research Collaborative where he worked on soft robotics and biomaterials. As a designer, Eric has a passion for multi-disciplinary problem-solving.

Nick is an Account Executive of sales at Seek and works with enterprise clients. Nick has a background working in sales and business development. Before joining Seek, he held the role of Sales Director at FloorFound and SmarterX, where he demonstrated exceptional leadership skills and a deep understanding of the industry landscape. Before that, Nick excelled as a Data and AI Account Executive at IBM, where he honed his expertise in technology solutions and client relationship management. Nick is an alumnus of Texas Tech University and currently residing in Austin.

Claire is a Group Leader at the University of Tuebingen, in the Cluster of Excellence Machine Learning for Science. She was awarded an Emmy Noether award under the AI Initiative call in 2022. Her research is on sequential decision making. It mostly spans bandit problems, and theoretical Reinforcement Learning, but her research interests extend to Learning Theory and principled learning algorithms. While keeping in mind concrete problems, she focuses on theoretical approaches, aiming for provably optimal algorithms. Previously, she was a Research Scientist at DeepMind in London UK since November 2018 in the Foundations team lead by Prof. Csaba Szepesvari. She did a post-doc in 2018 with Prof. Alexandra Carpentier at the University of Magdeburg in Germany while working part-time as an Applied Scientist at Amazon in Berlin. She received her PhD from Telecom ParisTech in October 2017, under the guidance of Prof. Olivier Cappé.

Panos Ipeirotis is a Professor and George A. Kellner Faculty Fellow at the Department of Technology, Operations, and Statistics at the Leonard N. Stern School of Business of New York University. His research focuses in the areas of crowdsourcing, machine learning, web data management, and social media analytics. He is widely regarded as the world's leading expert in building human-machine loop systems, that integrate human and machine intelligence to generate outcomes that are better than what humans alone or machines alone can achieve. He has also received more than ten “Best Paper” awards and nominations, and a CAREER award from the National Science Foundation. For his contributions in the field of social media, user-generated content, and crowdsourcing, he received the 2015 Lagrange Prize in Complex Systems.