Siddha Ganju
Senior Data Scientist Medical Instruments
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSiddha Ganju is a Senior Data Scientist at NVIDIA with 12 years of experience building and deploying deep learning systems across medical instruments, autonomous vehicles, and disaster-relief applications. A Forbes 30 Under 30 alumna and Carnegie Mellon graduate, she has led large-scale training and HIL simulation efforts on multi-thousand GPU clusters and delivered edge-optimized models as the first deep learning engineer at Kinara. Author of O’Reilly’s widely adopted Practical Deep Learning for Cloud, Mobile & Edge, her book’s companion repo demonstrates practical image similarity and finetuning workflows used by practitioners. Siddha combines research pedigree—CVPR and NeurIPS publications and 20+ patents—with high-impact applied work at NASA and CERN that accelerated meteor detection, flood mapping, and petabyte-scale satellite curation. She regularly mentors and coaches competition teams (Learn2Race) to podium finishes in high-speed autonomous racing and has given 200+ keynotes spanning 50+ countries, signaling rare strength in both technical leadership and public-facing influence.
11 years of coding experience
1 year of employment as a software developer
Bachelor's of Technology, Computer Science and Engineering, Bachelor's of Technology, Computer Science and Engineering at National Institute of Technology HamirpurMaster's degree, Computational Data Science, Master's degree, Computational Data Science at Carnegie Mellon UniversityCoRe: Financial Accounting, Economic Management, Business Analytics, Honors, CoRe: Financial Accounting, Economic Management, Business Analytics, Honors at Harvard Business School
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
scikit10
computer-vision10
machine-learning10
deep-learning10
python10
scikit-learn10
image-processing9
matplotlib9
tensorflow9
deeplearning-ai9
artificial-intelligence9
object-detection8
Programming languages (10)
Github contributions (5)
PracticalDL/Practical-Deep-Learning-Book
Oct 2019 - Sep 2021
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 142 commits, 118 PRs in 1 year 11 months
Contributions summary:Siddha's commits primarily focus on adding files related to different levels (1, 2, and 3) of a similarity search engine using embeddings within a deep learning book. The code changes involve importing libraries like NumPy, scikit-learn, and matplotlib and demonstrate the loading of image features and filenames. The user is working on model finetuning and feature extraction for image similarity search.
deep-learningmachinelearningmachine-learningedgepractical
sidgan/whats_in_a_question
Mar 2017 - Aug 2018
Contributions:18 commits, 12 pushes in 1 year 6 months
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