Sai Manthena is an AI Engineer combining 8 years of hands-on data engineering and machine learning experience to build production-grade analytics and automation for supply chains and financial services. He has a strong academic foundation (MSc in Big Data, high honors) and a proven record of delivering measurable impact—streamlining orders by 35% and cutting lead times by 56% through ML-driven pipelines. Comfortable across the stack, Sai has built scalable platforms and orchestration tooling (including Airflow enhancements) to support ~10,000 workflows while implementing model monitoring and automated retraining with MLflow. His work blends engineering rigor with business acumen: from improving insurance underwriting alignment to reducing operational FTEs via automated data pipelines. Now based in Old Toronto, he brings a pragmatic, continuous-learning approach to turning complex data problems into reliable, explainable solutions. An early maker as well, he has applied ML to robotics and conversational agents, reflecting a curiosity that extends beyond traditional enterprise analytics.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science with specialization in data analytics, 9.1/10.0, Bachelor's degree, Computer Science with specialization in data analytics, 9.1/10.0 at Vellore Institute of Technology
Master of Science - MS, Big Data, 4.17/4.33, Master of Science - MS, Big Data, 4.17/4.33 at Simon Fraser University
Contributions:18 commits, 2 PRs, 15 pushes in 1 year 6 months
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