Summary
Mayank Garg is a cloud developer based in San Jose with 9 years of engineering experience and 6+ years focused on building scalable, production-ready distributed systems. He specializes in cloud-native architectures and GenAI, having built low-code/no-code RAG platforms, custom Kubernetes operators, and end-to-end LLM inference pipelines using Go, Python, Kubernetes, and FastAPI. His background spans large enterprise systems—from PCI-compliant APIs and consumer-driven contract testing at Cisco to transforming monoliths into microservices at SAP—bringing strong reliability, performance tuning, and test-driven practices. Comfortable across the stack, he has practical experience with Spark on Kubernetes, Helm, and observability tooling, and often automates deployment and developer workflows to reduce toil. Notably, he combines hands-on infra engineering with emerging Agentic AI work, making him adept at moving experimental AI capabilities into enterprise-grade platforms.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Bachelor of Technology - BTech, Electronics and communcation Engineering, Bachelor of Technology - BTech, Electronics and communcation Engineering at International Institute of Information Technology
Hindi, English