Param Bhavsar is a software engineer with nine years of experience building cloud-native, AI-driven systems and enterprise payment platforms. He has driven high-impact projects at HSBC—supporting billions in transactions and onboarding multiple countries—and contributed to real-time fraud-detection pipelines using Kafka, Flink, Docker, and Kubernetes. Comfortable across the stack, Param combines Python, Java, Go, and React expertise with experience in databases (Oracle, MongoDB) and middleware (MuleSoft, IBM MQ), plus embedded tooling work in C++/Qt that cut testing time by nearly half. An active open-source contributor and past TensorFlow GSOC student and mentor, he implemented ML libraries in Swift and taught deep learning to pre-university students. Now at Eaton and pursuing research ties with Ohio State Wexner Medical Center, he blends production engineering with academic curiosity, often surfacing practical optimizations from research prototypes. His background reveals a rare mix of fintech scale, ML tooling, and hands-on device-level engineering.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Pune Institute of Computer Technology
Master's degree Computer Science, Master's degree Computer Science at The Ohio State University
Contributions:46 commits, 41 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.