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Ankur Kalra
Hiring ML Engineers, ML Researchers and Leaders!
Ankur Kalra is a professional with a specialization in bringing research-grade ML/AI techniques from Big Tech to various industries.
He is inspired and intrigued by the potential of cutting-edge technologies and is eager to discuss topics such as reproducible research, scalable systems, and the leadership challenges involved in building effective teams and organizations.
Ankur Kalra holds a Master's degree in Computer Science from the University of Illinois Urbana-Champaign and a Bachelor's degree in Computer Science from the Georgia Institute of Technology.
He has been associated with several notable organizations, including serving as the Founder / CEO at Hop Labs and engaging in various entrepreneurial ventures.
Ankur Kalra also held roles at Amazon, where he worked as a Senior Software Development Engineer for Amazon Instant Video and as a Software Developer for Amazon Prime.
Additionally, he gained experience as a Program Manager Intern at Expedia, Inc.
His diverse background showcases his expertise in technology, leadership, and business development across different sectors.
Highlights
PSA: We're hiring ML Engineers and ML Researchers at Hop (apply here: https://lnkd.in/enXyNcfZ), but do not work with external recruiters. If you are getting a message offering you a job or an interview at Hop from someone that does not have a verified @hoplabs.com email address, please report it as a scam.
We've gotten a handful of candidates forwarding us emails from folks we've never heard of claiming that they represent us and using vaguely similar email addresses.
At this rate, I'm just waiting for someone to reach out to me to offer me a job at Hop.
Working on slides for the session Catherine Davies and I are hosting next week, and it's a doozy. Turns out there's a lot to cover for investors in AI in healthcare!
There's a lot of subtle nuances in how modern AI systems work that inform which moats are really defensible. And I'm trying to leave folks with specific ML research areas to keep an eye on where I believe future breakthroughs are imminent. It's really hard to decide what to keep in vs leave out.
If you've already signed up, DM me your top two questions and I'll try to make sure to cover them in the session. If you haven't already signed up and are an active AI investor in healthcare, the link is in the comments.
