Aayush Garg
Senior Machine Learning Engineer at Jiffy.com
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolAayush Garg is a Senior Machine Learning Engineer based in Bengaluru with a decade of experience building production-grade vision and generative AI systems. He has shipped high-throughput image pipelines that handle 50K+ daily uploads for a $100M+ printing business and now leads in-house generative vision and LLM/VLM-powered search and recommendation at Jiffy. Prior to product roles, he applied deep learning to geophysics—developing JMI-Res reservoir inversion tech during a PhD at TU Delft and reducing subsurface optimization costs at Shell—bringing rare domain expertise in seismic imaging to ML products. At FlixStock he focused on virtual try-on and background generation with identity and pose control, demonstrating a strength in controllable generation for commerce. He combines rigorous research instincts with hands-on engineering, bridging large-scale production deployment and academic-grade algorithmic development.
10 years of coding experience
5 years of employment as a software developer
Deep learning specialization, Artificial Intelligence, Deep learning specialization, Artificial Intelligence at CourseraDoctor of Philosophy (Ph.D.), Geophysics and Seismology, Doctor of Philosophy (Ph.D.), Geophysics and Seismology at Delft University of TechnologyIntermediate, 94.3%, Intermediate, 94.3% at Delhi Public School GhaziabadIndian Institute of Technology RoorkeeHigh School, 95.56 %, High School, 95.56 % at St Paul's Academy
Hindi, English
Github Skills (69)
transformers10
python10
deep-learning10
transformer10
nlp10
tensorflow10
natural-language-processing10
pytorch10
machine-learning10
jekyll10
bert10
speech-recognition10
audio9
libtorch9
jax9
Programming languages (3)
Github contributions (5)
garg-aayush/spatial-alias-removal
Jul 2019 - Aug 2019
Contributions:18 commits, 20 pushes in 24 days
garg-aayush/finance_dashboard_example
Jan 2022 - Jan 2022
Contributions:29 commits, 11 pushes, 1 branch in 7 days
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