Rama Dorairaju
Distinguished Engineer (Member Of Technical Staff, Sr.Director) at Astera Labs
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolRama Dorairaju is a Distinguished Engineer with 20+ years designing and shipping software across IoT, consumer electronics, and cloud infrastructure, currently leading connectivity and AI/ML enablement at Astera Labs. He combines deep embedded-RTOS experience from wearables, smartphones and set-top boxes with recent leadership in bare-metal and containerized cloud stacks for edge deep learning (Kubernetes, OpenShift, Intel OpenVINO, accelerators). At Intel he architected cloud tools and system software to scale computer vision and NLP workloads across CPU/GPU/FPGA/VPU targets, earning an Intel Achievement Award for execution. Rama is equally comfortable in low-level device bring-up and high-level orchestration of AI inference pipelines, a rare cross-domain skill set that shortens time-to-market for edge AI products. Based in San Jose, he pairs technical rigor with product-focused delivery and a strong track record of bridging hardware, firmware and cloud teams.
8 years of coding experience
18 years of employment as a software developer
San José State University
Github Skills (21)
sample-data8
get-started7
jupyter-notebook5
computer-vision5
hardware5
linux-distro5
intel5
notebook5
pytorch4
jupyter4
executable4
machine-learning4
deep-learning4
distro4
object-detection4
Programming languages (2)
Github contributions (5)
ramalg/DO288-apps
Dec 2020 - Dec 2020
Contributions:13 pushes, 13 branches in 4 days
jlee17/iot-devcloud
Oct 2018 - Mar 2020
The Intel® DevCloud for the Edge allows you to actively prototype and experiment with AI workloads for computer vision on Intel hardware. This repository contains a series of Jupyter* notebook tutorials and examples hosted on Intel® DevCloud for the Edge. It comes preloaded with everything you needed to quickly get started. This includes trained models, sample data and executable code from the Intel® Distribution of OpenVINO™ Toolkit as well as other tools for deep learning. These notebooks are designed to help you quickly learn how to implement deep learning applications to enable compelling, high-performance solutions.
Contributions:57 commits in 1 year 5 months
everythingjupyter-notebookprototypetensorflowexecutable
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.