Sriharsha Makineni is a Solutions Engineer with 10 years of experience building scalable AdTech and GenAI systems, currently applying applied AI at Meta from Austin, Texas. He has a strong cloud-native and embedded systems background—designing IoT manageability, OTA update flows, and device onboarding at Intel using Go, Python, Kubernetes and Azure. Early work spans mobile and analytics (iOS apps, data dashboards) and production integration, giving him a full-stack perspective from device firmware to cloud orchestration. He combines academic computer science training (M.S.) with practical open-source contributions to manageability tooling and embedded automation. Known for turning complex device and data workflows into reliable, automated pipelines, he brings both low-level systems fluency and ML-adjacent product experience to production AI deployments.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Portland State University
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at GITAM University
Contributions:2 PRs, 4 pushes, 1 branch in 4 months
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