Siddha Ganju

Currently, I am an Architect at Nvidia focusing on the Self-Driving initiative. I work towards stable and scalable training of neural networks on very large data centers, and utilize simulation to validate the neural networks.

In 2017 I led NASA's Long-Period Comets team within their AI accelerator, called Frontier Development Lab, where we use machine learning to develop meteor detectors. Recently this project was able to provide the first-ever instrumental evidence of an outburst of 5 meteors coming from a previously known comet, called C/1907 G1 (Grigg-Mellish). As a member of the NASA FDL AI Technical Committee, I'm working towards incorporating AI in many space science projects!

Previously I was a Deep Learning Data Scientist at Deep Vision where I worked on developing and deploying deep learning models on resource constraint edge devices.

I graduated from Carnegie Mellon University with a Master's in Computational Data Science and a Bachelor’s in Computer Science and Technology from the National Institute of Technology (NIT), Hamirpur, India.

I have also authored a book on Practical Deep Learning for Cloud, Mobile & Edge - O'Reilly Publishers

[Resume] [Bio] [Scholar] [GitHub] [Twitter] [LinkedIn]

Email: firstnamelastname[at]emailserviceprovider,

IRC nick: sidgan

GPG Fingerprint: FCFC EF8E 95DE 42EC DE83 FA8C 6D18 0E5A DD42 E8B4

My once-in-a-blue-moon updated timeline/resume is below/above. Email me for a more updated resume.