Abhinav Ramesh is a Staff Software Engineer in Austin with six years of experience building high-concurrency, scalable backend systems and deploying agentic AI applications. A Purdue computer science graduate, he has progressed through multiple engineering roles at Tesla—moving from intern to staff—where he tackles both internal and customer-facing services. He brings deep expertise in performance debugging and observability across Kubernetes, Linux, and eBPF, and has experience processing large-scale experimental datasets from prior research at Purdue. Equally comfortable shipping production services and instrumenting complex systems, he combines hands-on coding with a data-driven mindset and an interest in applying ML/agent techniques to real-world problems. An unassuming detail: his background spans both academic data analysis (R/SAS) and modern cloud-native tooling, bridging legacy analytics and cutting-edge infrastructure.
6 years of coding experience
3 years of employment as a software developer
Computer Science, Computer Science at Purdue University
Public repo of my ML/AI journal reading notes. For future reference.
Contributions:2 PRs, 165 pushes, 2 branches in 1 year 7 months
notespythonai-mlpublic-repodeep-learning
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.
Request Free Trial
Abhinav Ramesh - Senior Software Engineer at Tesla