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ML Research | Anterior | Ex CMU, IIT Madras, #1 @ Abridge AI
I am an experienced product builder and ML researcher. I have built breakthrough ML products from scratch at startups and worked at large product and research-oriented companies. I just joined Anterior to explore new avenues for Generative AI in Healthcare. At Abridge, I was the #1 employee (founding team member) and lead research, and 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. Abridge went from 0 to 850M$ in valuation while I was there and is now valued at 5.3B$. 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=en Some 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.
Carnegie Mellon University
Master of Science in Robotics (MSR) (Thesis), Robotics
January 1, 2015 – January 1, 2017
Indian Institute of Technology, Madras
Bachelor's degree, Mechanical Engineering
January 1, 2011 – January 1, 2015
Anterior
AI Research and Engineering
April 1, 2025 – Present
New York, United States
Tempus AI
Senior Research Scientist - Generative AI
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Redwood City, California, United States
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Community Advisor
June 1, 2023 – Present
Abridge
Interim Head of Machine Learning
July 1, 2022 – January 1, 2023
Abridge
Machine Learning Lead
December 1, 2020 – September 1, 2023
Abridge
Senior Machine Learning Researcher (founding member and 1st employee)
June 1, 2018 – December 1, 2020
UPMC Enterprises
Machine Learning Researcher
January 1, 2018 – June 1, 2018
Pittsburgh, Pennsylvania
Disney Research
Research Associate
October 1, 2017 – December 1, 2017
Greater Pittsburgh Area
Delphi
Perception Engineer Intern
May 1, 2016 – August 1, 2016
Greater Pittsburgh Region
Carnegie Mellon University
Research Assistant (Thesis)
August 1, 2015 – August 1, 2017
Greater Pittsburgh Area
University of Calgary
MITACS Globalink Research Intern
May 1, 2014 – August 1, 2014
Calgary, Alberta, Canada
Amada Soft India
Software Development Intern
December 1, 2013 – January 1, 2014
Greater Chennai Area
Competition
International Robotics competition -- ABU Robocon'13, IIT Madras
May 1, 2012 – February 1, 2013
Pune/Pimpri-Chinchwad Area
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for roles requiring innovation, leadership, and impact, particularly within fast-paced, high-growth environments (e.g., Abridge's valuation growth). Their involvement in a non-profit for AI education suggests a commitment to knowledge sharing and community, which aligns with collaborative and growth-oriented cultures. The focus on medical AI across multiple roles indicates a passion for applying AI to real-world, impactful problems. However, the lack of explicit project details outside of work roles makes it harder to assess broader interests or specific team collaboration styles.
Soft Skills & Operational Fit
The candidate's experience at Abridge, where they were a founding ML team member and later an interim head, suggests strong leadership, collaboration with product/design teams, and strategic thinking. Their involvement in a non-profit for AI education in West Africa indicates a commitment to community and mentorship. The descriptions of scaling products and working with stakeholders imply good operational fit and communication skills.