Summary
Bikash Shaw is a Manager and Machine Learning Engineer with over a decade of experience building production-grade Java/J2EE systems and evolving them into cloud-native, ML-enabled services. He has led end-to-end ML delivery at SCOR—rewriting R pipelines to Python, designing PySpark ingestion on AWS EMR, and deploying real-time FastAPI prediction endpoints in Fargate as part of a CD4ML initiative. Equally comfortable in systems engineering and data science, he pairs deep Java expertise (concurrency, Spring, Hibernate, messaging) with practical ML tooling (scikit-learn, TensorFlow Keras, BayesSearchCV) and Snowflake integrations. A proven problem-solver, he has migrated legacy stacks, implemented large-file REST services backed by S3, and automated CI/CD and containerization for mission-critical insurance platforms. Based in Charlotte, NC, he blends hands-on implementation with team leadership and production support, often surfacing architecture improvements from operational on-call work.
10 years of coding experience
12 years of employment as a software developer
Master of Computer Applications (M.C.A.), Computer Software Engineering, A+, Master of Computer Applications (M.C.A.), Computer Software Engineering, A+ at West Bengal University of Technology
English