Summary
Abhi nan is a Machine Learning Engineer based in Munich with nine years of experience building production-grade systems. He blends machine learning with cloud-native and site‑reliability practices, specializing in Kubernetes-driven deployments, distributed systems, and scalable algorithms. His technical interests span Web3 and blockchain as well as cloud computing and SRE, positioning him to bridge data science models with resilient infrastructure. Known for a pragmatic, systems-first approach, he focuses on operationalizing ML and designing reliable, high-performance services for complex distributed environments.
9 years of coding experience
13 years of employment as a software developer
English, Hindi, Punjabi