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I am an experienced product builder and ML researcher. I have built breakthrough ML products from scratch at a startup (0 to 850M$) and worked at large product and research oriented companies. I just joined Tempus to explore new avenues for Generative AI in Healthcare. At Abridge, I developed a first-of-its-kind conversation understanding capabilities for various healthcare actors. I created and lead ML R&D for Abridge’s automatic doctor documentation product. The product generates accurate clinical notes using clinical conversations with generative AI.I am also a member of the International Consortium for Artificial Intelligence (AI) and Shared Decision Making (SDM) https://www.isdmsociety.org/special-interest-groups-icai/ I have publications across areas like LLMs, NLP, Speech, Computer Vision, Robotics, and Reinforcement Learning at top-tier conferences.- Portfolio - saiprabhakar.github.io/- Google Scholar - scholar.google.com/citations?user=avFhCGUAAAAJ&hl=enSome of my recent interesting research works includes multi-modal generative AI, improving summarization models with human-edit information and developing custom metrics to evaluate LLM summaries. I have worked with popular Deep Learning frameworks, large data sets, Cloud platforms, and MLOps tools like Kubernetes, and Pub/Sub.
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Ai Research And EngineeringAnteriorNew York, Ny, Us -
Senior Research Scientist - Generative AiTempus Ai Oct 2023 - PresentChicago, Il, Us -
Lead Machine Learning ResearcherAbridge Dec 2020 - Sep 2023Pittsburgh, Pennsylvania, UsFirst employee at Abridge. Went from 0 to 850 Million $ valuationResearch:– Lead ML efforts on automatic Electronic Health Record (EHR) generation from clinical conversations to make the documentation fast and accurate– Developed and shipped ML products for the patient app including follow-ups and medication instructions extraction from the conversations.– Worked on various research topics including clinical conversation understanding – Large Language Models (LLMs), DPO, PPO, RLHF, Distillation, Summarization, LLM Evaluation, Medical Ontologies, and Speech Recognition.- Work includes Improving summarization models (including LLMs) with human-edit information, and developing new metrics to evaluate LLM summaries and Speaker Diarization.Engineering and Management:– Created and deployed ML pipelines in Google Cloud Platform during the early stage of the company with K8s to process medical conversations. Users grew from 0 to >500k– Mentored new researchers and interns (>10) -
Interim Machine Learning HeadAbridge Jul 2022 - Jan 2023Pittsburgh, Pennsylvania, Us– Lead the ML team in the interim during a leadership transition period.– Worked with Design and Product teams to plan and coordinate efforts– Worked with stakeholders to devise ML strategy incorporating LLM breakthroughs. – Attended business, client, and investor meetings.– Designed user experiments to measure the impact of the ML products. -
Senior Machine Learning ResearcherAbridge Jun 2018 - Dec 2020Pittsburgh, Pennsylvania, Us -
Machine Learning ResearcherUpmc Enterprises Jan 2018 - Jun 2018Pittsburgh, Pennsylvania, Us- Groundwork for Abridge AI before incorporation.- Speech Recognition and Natural Language Understanding on clinical conversations -
Research AssociateDisney Research Oct 2017 - Dec 2017Los Angeles, Ca, Us- Worked for a brief period on movie scripts understanding with NLP.- Left after the project and the research lab were shut down because of funding cuts. -
Research Assistant (Thesis)Carnegie Mellon University Aug 2015 - Aug 2017Pittsburgh, Pa, Ushttps://www.theverge.com/a/verge-2021/humanity-and-ai-will-be-inseparable - Explainable Artificial Intelligence (Thesis)- Indoor mobile robots (Thesis)- Deep visualization (Thesis)- Deep Reinforcement Learning -
Perception Engineer InternDelphi May 2016 - Aug 2016Gillingham, United Kingdom, GbDeveloped real-time image-based pedestrian detection models with a miss rate of 7.2% and 5.2% (HDR) -
Mitacs Globalink Research InternUniversity Of Calgary May 2014 - Aug 2014Calgary, Alberta, Cahttps://calgaryjournal.ca/2014/08/19/mitacs-aims-to-bring-canada-to-the-forefront-of-innovation/ -
Software Development InternAmada Soft India Dec 2013 - Jan 2014Chennai, Tamilnadu, In -
International Robotics Competition -- Abu Robocon'13, Iit MadrasCompetition May 2012 - Feb 2013- Won Fastest Job Completion Award at the national level- Built robots and developed autonomous navigation algorithm
Sai Prabhakar Skills
Sai Prabhakar Education Details
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Indian Institute Of Technology, MadrasMechanical Engineering -
Carnegie Mellon UniversityRobotics
Frequently Asked Questions about Sai Prabhakar
What company does Sai Prabhakar work for?
Sai Prabhakar works for Anterior
What is Sai Prabhakar's role at the current company?
Sai Prabhakar's current role is AI Research and Engineering.
What is Sai Prabhakar's email address?
Sai Prabhakar's email address is ap****@****ail.com
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What schools did Sai Prabhakar attend?
Sai Prabhakar attended Indian Institute Of Technology, Madras, Carnegie Mellon University.
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Sai Prabhakar has interest in Anna Hazare (Indian Social Activist), Harry Potter, Interesting Places, Hockey, Health, Children, Education, Environment, Science And Technology, Human Rights.
What skills is Sai Prabhakar known for?
Sai Prabhakar has skills like Matlab, C++, Python, Machine Learning, Robotics, Ros.
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