Indrajit Rajtilak is a Machine Learning Engineer in San Francisco with 11 years of experience building production ML systems, web services, and cloud infrastructure across startups and large platforms. He currently develops detection and enforcement models at WhatsApp (Meta) to combat financial scams and previously built integrity models for ads and misinformation. Earlier roles span autonomous vehicle perception at Embark—training lidar semantic segmentation networks and building MLOps pipelines—and full-stack and platform leadership at Springboard, where he led engineering, product, and data initiatives that improved retention and operational efficiency. Comfortable bridging product, engineering, and data science, he has a track record of shipping end-to-end solutions that cut costs, speed deployments, and move metrics. He’s pursuing an online MS in Machine Learning at Georgia Tech, reflecting a continuous focus on applied ML and scalable productionization.
Product Management Studio Product Management, Product Management Studio Product Management at University of California, Berkeley, Haas School of Business
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at SRM IST Chennai
Data Science Intensive Data Science, Data Science Intensive Data Science at Springboard
Online Master's in Machine Learning (in progress; expected to graduate in 2025) Machine Learning and Robotics, Online Master's in Machine Learning (in progress; expected to graduate in 2025) Machine Learning and Robotics at Georgia Institute of Technology
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