Summary
Melwin Jose is a Software Engineer III with 11 years of experience building data-driven systems across Google, ABB, HP, and in cloud infrastructure for GCP and Workspace. He specializes in scalable analytics and ML pipelines, combining Java/Python development with Spark, Kafka, TensorFlow, and various R/Python data stacks to turn large, complex datasets into operational insights. At Google he contributes to Cloud AI and Document AI products, while earlier roles at ABB focused on failure analytics for solar inverters and sales forecasting. He brings production-grade DevOps fluency—Docker, Kubernetes, AWS, Jenkins, Chef, Zabbix—and a track record of improving reliability and zero-downtime deployments. Melwin’s background spans both low-level systems (high-performance UDP/HTTP servers and memory profiling) and higher-level ML/modeling work, reflecting a rare full-stack analytics engineering skill set. Based in Raleigh, he pairs an MS in Computer Science with hands-on experience shipping monitored, scalable systems in enterprise and cloud environments.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at North Carolina State University
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at College of Engineering Trivandrum