Rahul Duggal
Senior Machine Learning Engineer at Google
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRahul Duggal is a Senior Machine Learning Engineer at Google with 10+ years of experience building production multimodal and computer vision systems, and a PhD in Computer Science from Georgia Tech. He helped launch key AWS AI products including Visual Content Moderation, Face Recognition, and Bedrock Data Automation while driving research on post-training multimodal models and efficient vision pretraining. Rahul blends deep research (15+ publications, 1000+ citations) with product delivery, mentoring PhD interns into full-time hires and publishing at top venues like ECCV and CVPR. His background spans founding early-stage products, medical imaging diagnostics, and large-scale engineering at AWS and Epic, giving him a rare mix of startup scrappiness and enterprise-grade execution. Based in Seattle, he focuses on multi-agent AI systems and practical model fine-tuning that bridge lab innovations to customer-facing services.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BE), Computer Engineering, Bachelor of Engineering (BE), Computer Engineering at Netaji Subhas Institute of TechnologyDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyBluebells School International
Github Skills (27)
data-science9
pytorch9
python9
machine-learning9
tensorflow9
deep-learning9
clustering8
jax8
simulator7
nearest-neighbors7
robotics7
neural-network7
similarity7
computer-vision6
theano6
Programming languages (3)
Github contributions (5)
duggalrahul/duggalrahul.github.io
Jul 2018 - Sep 2024
Contributions:25 pushes, 1 branch in 6 years 2 months
duggalrahul/Overlapping-Cell-Nuclei-Segmentation-using-DBN
Mar 2017 - May 2017
Contributions:16 commits, 14 pushes, 1 branch in 1 month
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