Welcome to episode 328 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Samee Zahid, Staff Software Engineer (ML & Data) at Chipper Cash in San Francisco. Founded in 2018, Chipper Cash is a venture-capital-backed Financial technology company that builds software to enable free and instant Peer-to-peer Cross-border payments in Africa and Europe; as well as solutions for businesses and merchants to process online and in-store payments. It is their mission is to provide the most trusted and accessible financial services for people living in Africa and beyond.
Samee is a generalist engineer skilled at end-to-end Machine Learning such as data analysis, feature engineering, model training and deployment, data infrastructure, evaluation systems and A/B experimentation. He leads the Intelligence team at Chipper Cash to tackle machine learning and big data problems with an engineering mindset. Samee develops with a strong product focus and big picture instinct, and is excited about emerging tech's ability to transform lives in developing economies.
In the episode, Samee will talk about:
The work they do at Chipper Cash within FinTech
How they are using Data Science and Machine Learning
An insight into some projects the team are working on
Moving from a large company like Google into a startup
What the future holds for Chipper Cash
Exciting career opportunities with the company
To find out more about Samee and all the great work happening at Chipper Cash, check out the website and follow them on Linkedin, Instagram and Twitter @chippercashapp. You can also connect with Samee directly on Linkedin.
What did you think of Samee's podcast? Where do you see the future of AI and Data Science in the Financial Services industry heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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