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Sudhir Wadhwa
Chief Data Officer
Sudhir Wadhwa is a seasoned professional with a diverse background in Large Language Model-based Generative AI Applications, specifically working with frameworks like OpenAI's GPT series and Meta Llama 3.
He possesses expertise in LLM Fine-Tuning and Transfer Learning, particularly in the Healthcare domain, utilizing transfer learning techniques to customize pre-trained models.
In addition to his work in AI, Sudhir is a respected educator, teaching Generative AI courses at prestigious institutions like Santa Clara University and the Indian School of Business.
With a rich career spanning industries like HealthCare, EdTech, AdTech, and FinTech, Sudhir has founded and led successful companies in the San Francisco Bay Area.
He has demonstrated exceptional leadership skills by building and managing high-performing global teams of data scientists, developers, and data engineers for a prominent FinTech public company.
Sudhir has played key roles in leadership teams involved in mergers and acquisitions, including the acquisition of Canesta by Microsoft and FixStream Networks by Resolve.
His strong business acumen is evident through deep partnerships established with renowned companies like Salesforce, where he collaborated on innovative projects and raised significant funding from notable VCs.
He holds a solid educational foundation with studies in Data Strategy, Fintech, Mathematics, and Entrepreneurship from esteemed institutions like UC Berkeley and Stanford University.
Having held prominent positions in various organizations, such as Chief Data Officer at Aduro and Global Head of Data at ThriveDX, Sudhir has a proven track record of driving success through data-driven strategies.
His past roles range from Founding CTO to Vice President, showcasing his versatility in leading ML platforms, engineering teams, alliances, and product strategies.
Sudhir's professional journey includes experiences with industry giants like Intel Corporation, Allied Telesis, and Leap Motion, where he contributed to IT, machine learning, and release engineering functions.
He has also been part of acclaimed educational institutions, serving as a Visiting Faculty Member and Adjunct Lecturer, further solidifying his expertise and influence in the academic realm.