Manas Paldhe | Source | Lead automation engineer at Infinitus Systems
Manas Paldhe
I am Manas Paldhe. I am a lead machine learning engineer at a healthcare AI company Infinitus Systems.
I build cutting edge conversational AI system that automates phone calls in the healthcare industry so that provides can focus on giving care instead of administrative tasks. Previously I built discovery products at Twitch to help viewers find content to watch. I also worked at ClipMine where I built computer vision pipeline to extract information from videos.
I have published a 7 robotics and NLP papers in top conferences like ICRA and NAACL, and have two patents (one in phone call automation, and another in computer vision).
I did my M.S in ECE from Purdue University, and B.Tech in Engineering Physics from IIT Delhi
Linkedin: https://www.linkedin.com/in/manas-paldhe-b8816517/
Google scholar: https://scholar.google.com/citations?user=AvSvo8kAAAAJ&hl=en
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Infinitus Systems (https://www.infinitus.ai/)
Lead automation engineer
started Jan 2023 -
Instacart (http://instacart.com)
Software Engineer
Jul 2021 – Jan 2023 -
Twitch (http://twitch.tv)
Tech lead software engineer
Nov 2016 – Jul 2021
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ClipMine Improves Videos With Crowdsourced Tagging And Annotations | TechCrunch
So this happens to pretty often: I pull up an online video that I want to watch, only to be taken aback when I realize that it's 10 or 20 or 30 minutes long. It's particularly frustrating when there's just one section or just one quote that I'm looking for. I end up skipping aroundtrying to find that one bit — not exactly a great experience. A new startup is trying to fix that. WithClipMine, you get searchable videos, with a table of contents.
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Twitch acquired video indexing platform ClipMine to power new discovery features | TechCrunch
In an announcement about a set of new discovery tools, Amazon-owned video game streaming site Twitch also unveiled that it recently acquired Palo
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Humanoid robots are focus of research at Purdue - Purdue University
Purdue University is participating in an international effort led by Drexel University to create robots that could respond to disasters, including those involving radioactive or bio-contamination hazards.
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