Summary
Prasad Shende is a software engineer with 10 years’ experience building scalable cloud and data-driven systems, currently contributing at Amazon from Seattle. He blends software engineering and data science expertise developed across roles at IBM and multiple startups, delivering production ML pipelines, real-time streaming solutions, and RESTful services. Notable past work includes boosting an IBM news-classification system’s accuracy by over 50% using TF-IDF and BiLSTM models, and architecting Spark-Kafka streaming for power-grid telemetry. Comfortable across Java, Python, Spark, Kubernetes and front-end tooling, he pairs hands-on implementation with product-focused design and A/B testing. Always learning and coding, he brings a track record of turning research prototypes into deployed features that improve decision-making for sales and operations teams.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Master of Science - MS at North Carolina State University
Bachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at Pune Institute of Computer Technology
English, Hindi, Marathi