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