Ajinkya Kale
Director, Applied Research, Firefly Generative AI
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAjinkya Kale is a director-level applied research leader with 14 years of experience building and shipping production-grade generative AI and vision-language systems, currently leading Adobe Firefly’s foundational generative imaging models from San Jose. He progressed through technical and managerial roles at Adobe and eBay, driving innovations across multimodal search, representation learning, image captioning, knowledge graphs and conversational commerce. Hands-on research roots at Georgia Tech and contributions to the C++ mlpack library (including PCA and math refactors) reflect his blend of deep technical rigor and production engineering. He prefers research teams tightly coupled to product and has a track record of taking prototype research into scalable product features. Known for hiring and scaling applied science teams, he combines academic training in computational science with practical experience in large-scale ML systems.
14 years of coding experience
11 years of employment as a software developer
Fergusson CollegeBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at COEP Technological UniversityMaster's degree Computational Science and Engineering, Master's degree Computational Science and Engineering at Georgia Institute of Technology
Github Skills (14)
math-functions10
machine-learning10
pca10
c-language10
cpp10
cprogramming-language10
math10
cplus10
maths10
regression9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (12)
Github contributions (5)
mlpack/mlpack
Sep 2011 - Dec 2014
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:51 commits, 1 PR, 2 branches in 3 years 3 months
Contributions summary:Ajinkya primarily focused on refactoring and removing unused mathematical functions and constants within the `mlpack` library, specifically in the `fastlib/math` directory. They removed functions from `discrete.cc`, `discrete.h`, and `kernel.h`, and also removed the `spherevolume` function from `geometry.cc` and `kernel.h`. They also added the factorial function back to address a build issue. Subsequent commits reveal implementation of PCA code, making the user's contributions center around mathematical and machine learning functionalities.
regressionheaderdeep-learningscientific-computingc-plus-plus
ajkl/wedding-invite
Jan 2015 - Feb 2015
Contributions:118 commits, 19 PRs, 99 pushes in 1 month
wedding-invitationreactinvitation
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