Helping colleagues become machine learning expertsThis story is part of an ongoing series in which we highlight graduates of Capital One’s Machine Learning Engineering Training Program (MLETP), a 160-hour program that teaches software and data engineers the skills necessary to work in machine learning and AI. Learn more about MLETP.
Senthil, who has studied and worked in machine learning for his whole career, came to the enterprise in 2016 to research and work on various business applications like fraud and anomaly detection.
He found career bliss when he combined his passions for machine learning and teaching to create MLETP in 2021.
“I’m happiest when I’m teaching because it gives our associates an opportunity to continuously build new skills to stay on the cutting edge of technology,” Senthil said. “Technology is moving really, really fast. And if you take your eyes off the ball, even for six months, the latest technological advances can pass you by.”
Senthil has stayed on top of technology advances by going all in on machine learning. He’s now a principal scientist in Capital One’s Center for Machine Learning. He also helped start MLETP in 2021, which you can learn more about in the video below.
Senthil helped design MLETP to focus on four areas: modeling, engineering/machine learning operations, industry tools and Capital One tools and platforms. Participants get hands-on experience with each unit, complete a capstone project at the end of the course and immediately apply what they learn to real business cases.
“The Machine Learning Engineering Training Program was really created to help our associates hit the road running when they start on their first MLE role,” Senthil said. “We take them on and we give them the foundations in machine learning and teach them all about building models at scale.”
Joining Senthil in teaching and helping throughout MLETP is a dedicated team of Capital One instructors who have taught at universities, conducted research and know how to apply machine learning in a business context.
“Associates being able to learn from some of the best machine learning and technical talent in the industry really makes this program powerful,” Senthil said. “We place a lot of emphasis on helping others advance. That’s our culture at Capital One.”
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