Aishwarya Srinivasan works in the Microsoft for Startups group within Microsoft as a Senior AI Advocate to help startups build machine learning solutions, leveraging core Microsoft/OpenAI products. Prior to this, Srinivasan was working as a Data Scientist in Google Cloud and before that an AI & ML Innovation Leader at IBM Data & AI, where she was working cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology. She is the founder of Illuminate AI, first of its kind non-profit organization for providing resources and mentorship for people who want to build their career in the field of AI. She is an advocate for open-source technologies, presently an open source Developer Advocate for Deepchecks; previously a developer advocate for PyTorch Lightning and a contributor to Scikit Learn.
She has over 500,000 follower base on LinkedIn and actively organizes events and conferences to inspire budding data scientists. Srinivasan has been awarded Trailblazer of the Year by Women in AI in 2022 and Women of Influence by Business Journal in 2022. She holds a post-graduate in Data Science from Columbia University. She has worked with clients all across the globe and has traveled internationally to London, Dubai, Istanbul, and India to lead and work with them. She is very focused on expanding her horizons in the machine learning research community including her recent Patent Award won in 2018 for developing a Reinforcement Learning model for Machine Trading.
She has done keynote and conference sessions at Grace Hopper Conferece, ODSC, AI Engineer's Summit, Big Data & AI Toronto, AI Accelerator Institute Conference, DeepFest- Saudi Arabia, GITEX- Dubai, EGG On Air, Google Cloud Next YOLO Vision, and delivered AI workshops at several universities including UCLA, Stanford University, Columbia University, SJSU, and UIUC. She has built two top AI courses on LinkedIn Learning and n
She is an ambassador for the Women in Data Science community, originating from Stanford University. She has been spotlighted as a LinkedIn Top Voice 2020 for Data Science and AI, which features Top 10 Machine Learning influencers across the world.
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