Summary
Jeswanth Galla is a Senior Machine Learning Engineer with 8 years of experience designing and shipping ML-driven products across fraud detection, recommendations, forecasting, computer vision, and generative AI. Currently at Snap after a recent tenure at AWS, he builds scalable ML pipelines and backend systems that have demonstrably improved engagement, detection accuracy, and deployment efficiency in production environments. He combines hands-on model development (XGBoost, LSTMs, autoencoders, YOLO) with MLOps pragmatism—SageMaker, Glue, Kinesis and canary testing—to take projects from prototype to low-downtime production. Notably, his work has reduced manual review time by 60%, cut costs through anomaly detection and forecasting, and automated large regional data backfills with zero downtime. With a Master’s in Business Analytics and a background spanning startups to large cloud platforms, he thrives in cross-functional teams owning end-to-end delivery and is actively exploring GenAI and system design to solve real-world product problems.
8 years of coding experience
6 years of employment as a software developer
Green Valley International School
Master's degree, Business Analytics, Master's degree, Business Analytics at UMN Carlson School of Management
Sri Chaitanya Narayana Junior College
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at National Institute of Technology Karnataka
English, Telugu, Hindi, Kannada