Summary
Umesh Meena is an SDE III with 8 years of experience building data-driven, production-grade systems at JPMorgan Chase, specializing in Kubernetes, PySpark, Airflow, and Kafka Connect. He combines machine learning experience—feature extraction, classification, ranking, and tree-based models—with backend data engineering to deliver scalable pipelines and real-time integrations. Past projects include end-to-end analytics and visualization platforms, practical use of SHAP for feature interpretation, and user-facing work with Angular and Jekyll, reflecting a rare full-stack plus ML tooling blend. Comfortable translating business needs for technical and non-technical stakeholders, he thrives in collaborative teams and continuously pursues learning to bridge research ideas into reliable production services.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Kanpur