
Sheshadri Thiruvenkadam
With a career spanning 20 years in research and 15 years in healthcare technology, I am deeply passionate... | San Ramon, California, United States
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Sheshadri Thiruvenkadam’s Location San Ramon, California, United States
Sheshadri Thiruvenkadam’s Expertise With a career spanning 20 years in research and 15 years in healthcare technology, I am deeply passionate about leveraging algorithms to impact patient care. I've had the privilege of contributing my expertise and innovation to nearly 25 cutting-edge healthcare products. I have designed and implemented novel algorithms in a wide array of disciplines including Deep Learning, Predictive Machine Learning, Anomaly Detection, Image & Shape Analysis, Computer Vision, Inverse Problems, NLP/OCR, and Computer Graphics. I thrive in addressing learning challenges like small data, incremental model update, long tail of artifact classes, human-in-the-loop (HITL) considerations, high resolution data artifacts, interpretability, and handling of partial/noisy labels and unlabeled data. Have contributed to 30+ peer reviewed publications (1800+ citations) and 14 granted patents Google Scholar: https://scholar.google.com/citations?user=ValkFb4AAAAJ&hl=en&authuser=1 Research Gate: https://www.researchgate.net/profile/Sheshadri_Thiruvenkadam Patents: https://uspto.report/company/Thiruvenkadam-Sheshadri In the last couple of roles, I have contributed through 1) Leadership in driving enterprise analytics for patient safety/well-being and business efficiency including predictive/detection models (clinical, device maintenance, customer retention) 2) Predictive models for disease risk, critical events based on multi-modal data – strong applications in pharma marketing, clinical trials, patient facing health apps etc. 3) NLP/OCR - Extracting key structured data from clinical documents integrating HITL and few shot/online learning 4) Radiology workflow simplification – Progressive assistance of radiology workflow to speedup reporting, reduce misses, with applications in tele-radiology and second opinions. 5) Deep learning formulations for low resource scenario In leadership roles, I've acted as a program lead, a key contributor to algorithm design, and a research mentor across multiple projects. I excel in fostering collaborations with investors, partners, and end-users to design products that meet both business and technical specifications, including the complexities of data labeling and ingestion. Beyond my professional commitments, I am a dedicated educator. I've offered tutorials and courses in medical image analysis and computer vision and have served as a research mentor for graduate students.
Sheshadri Thiruvenkadam’s Current Industry Outset Medical
Sheshadri
Thiruvenkadam’s Prior Industry
Niit Technologies
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Ucla Mathematics
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Ge Global Research
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Attune Technologies
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Concertai
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Outset Medical
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Work Experience

Outset Medical
Director - Analytics & Ml
Mon Aug 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Dec 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Concertai
Senior Principal Scientist
Tue Jan 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Jun 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Attune Technologies
Principal Technical Consultant, Head Of Data Science
Fri Dec 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Dec 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)
Ge Global Research
Senior Scientist
Tue Apr 01 2008 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Dec 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
Ucla Mathematics
Postdoc
Thu Sep 01 2005 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Mar 01 2008 00:00:00 GMT+0000 (Coordinated Universal Time)
Niit Technologies
Programmer
Thu Jan 01 1998 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jan 01 1999 00:00:00 GMT+0000 (Coordinated Universal Time)