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Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
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Fintech AI for 120 Million People | Vishnu Ram Venkataraman, VP Data Science and Engineering at Credit Karma
Manage episode 357149989 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Vishnu Ram Venkataraman is the VP of Data Science and Engineering at Credit Karma. Over the last 8.5 years, he has built their Recommendation systems and Machine Learning infrastructure for their 120 Million members and growing. Before that, he has held leadership roles at Nykaa and Games24x7. He has degrees from IIT Bombay and IIM Ahmedabad, two of the most premier educational institutes in India.
In this episode, we cover a range of topics including:
- How they build ML products at Credit Karma
- Use cases of ML in finance
- Challenges of building ML products in finance
- Failure modes of ML models
- Tackling bias in ML systems
- Building reliability into ML systems
- Maintaining product discipline as you scale
- Advice for developers who want to incorporate ML into their products
Vishnu's favorite book:
Chip War (Author: Chris Miller)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
171 episodes
Share
Manage episode 357149989 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Vishnu Ram Venkataraman is the VP of Data Science and Engineering at Credit Karma. Over the last 8.5 years, he has built their Recommendation systems and Machine Learning infrastructure for their 120 Million members and growing. Before that, he has held leadership roles at Nykaa and Games24x7. He has degrees from IIT Bombay and IIM Ahmedabad, two of the most premier educational institutes in India.
In this episode, we cover a range of topics including:
- How they build ML products at Credit Karma
- Use cases of ML in finance
- Challenges of building ML products in finance
- Failure modes of ML models
- Tackling bias in ML systems
- Building reliability into ML systems
- Maintaining product discipline as you scale
- Advice for developers who want to incorporate ML into their products
Vishnu's favorite book:
Chip War (Author: Chris Miller)
--------
Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
Twitter: https://twitter.com/prateekvjoshi
171 episodes
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…
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