Ramana Rachakonda
SOC Architect at Apple
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolRamana Rachakonda is a SOC Architect with 8+ years in his current trajectory and over two decades of deep systems experience across semiconductors and embedded platforms. He has led SoC architecture and product strategy at Apple and Intel, including spearheading the Movidius Neural Compute Stick as Deep Learning Product Architect and contributing deployable CNN examples to its popular ncappzoo repository. Skilled in RTL, SystemVerilog, Python, and EDA flows, he translates marketing-led product requirements into concrete hardware/software co-designs and long-term accelerator visions. A Virginia Tech MEE in Computer Engineering, Ramana blends hands-on RTL coding with product-level roadmap thinking and a track record of shipping silicon-enabled ML solutions for edge devices.
8 years of coding experience
19 years of employment as a software developer
Master of Electrical Engineering, Computer Engineering, Master of Electrical Engineering, Computer Engineering at Virginia TechBachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at Chaitanya Bharathi Institute Of Technology
Github Skills (8)
computer-vision10
opencv10
python10
ai10
openvino10
cprogramming-language9
c-language9
tensorflow3
Programming languages (2)
Github contributions (5)
movidius/ncappzoo
Aug 2017 - Jan 2018
Contains examples for the Movidius Neural Compute Stick.
Role in this project:
ML Engineer
ML EngineerContributions:48 commits, 10 PRs, 9 pushes in 4 months
Contributions summary:Ramana contributed significantly to the `movidius/ncappzoo` repository, demonstrating expertise in deploying and running various deep learning models on the Movidius Neural Compute Stick. They added examples for multiple convolutional neural network architectures, including GoogLeNet, AlexNet, and SqueezeNet. The commits showcase the ability to integrate these models with the Movidius NCS, preprocess images, and interpret model outputs.
deep-learningstickneural-compute-stickmachine-learningneural-network
ramanarachakonda/ncappzoo
Nov 2017 - Jan 2018
Contributions:8 pushes, 2 branches in 2 months
deep-learningstickneural-compute-stickmachine-learningneural-network
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