Summary
Sekhar Mekala is a Staff Applied Scientist based in Omaha with over a decade of experience building and scaling large distributed data and ML systems at companies like Meta and Amazon. He combines deep data engineering roots (DB2, Hadoop, Spark, EMR) with practical machine learning and deep learning production expertise (PyTorch, TensorFlow, PySpark) to drive product strategy and infrastructure decisions for systems serving billions of users. Sekhar has led end-to-end analytics and ML pipelines—from automatic data cleaning and data lakes to experimentation and model deployment—while mentoring cross-functional teams and advancing data best practices. Early-career work as a DB2 performance engineer and automation-focused DBA gives him a rare operational perspective on reliability and performance tuning at scale. He’s delivered measurable business impact (e.g., replacing manual claims processing with a 150-claims/minute image pipeline and boosting lead conversion rates) and consistently translates complex technical trade-offs into strategic recommendations. With an MS in Data Analytics and a hands-on mindset, he thrives at the intersection of production engineering, ML research, and measurable product outcomes.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS), Data Analytics, A, Master of Science (MS), Data Analytics, A at City University of New York
Bachelor of Engineering (B.E.), Computer science and Engineering, A, Bachelor of Engineering (B.E.), Computer science and Engineering, A at Osmania University
English, Hindi, Telugu