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