Sharat Chikkerur
Greater Boston Area United States
Summary
🤩
RockstarSharat Chikkerur is a data science lead with 11 years of experience building deep learning solutions for computer vision in oil & gas and multilingual natural language processing. Based in Greater Boston, he leads cross-functional teams of data scientists and engineers to tackle production-grade models and real-world inference challenges. He has hands-on experience fixing algorithmic bugs and integrating third-party libraries, demonstrated by contributions to the prominent Vowpal Wabbit project where he improved LDA online-learning behavior and robustness. Comfortable bridging research and engineering, he focuses on reliable model serialization, build stability, and scalable deployment patterns. Colleagues rely on him to translate complex domain constraints into practical ML systems that operate in demanding industrial settings.
11 years of coding experience
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
machine-learning10
c-language10
cpp10
cprogramming-language10
active-learning10
elearning10
boost7
zlib6
Programming languages (8)
Github contributions (5)
VowpalWabbit/vowpal_wabbit
Apr 2015 - Apr 2018
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Role in this project:
ML Engineer
ML EngineerContributions:35 commits, 16 PRs, 49 comments in 3 years
Contributions summary:Sharat primarily contributed to the Vowpal Wabbit project by fixing bugs related to the online learning algorithm LDA (Latent Dirichlet Allocation). These fixes addressed issues in model predictions, parameter serialization, and build problems related to the codebase. The user demonstrated a strong understanding of the LDA algorithm and the Vowpal Wabbit framework, including its command-line interface. Furthermore, they also contributed to the integration of third-party libraries like Boost and Zlib through NuGet packages and other general code cleanup.
hashingtechniquescpppythonactive-learning
sharatsc/boston-vw-meetup
Sep 2015 - Jul 2016
Contributions:12 commits, 3 PRs, 17 pushes in 10 months
wabbitvowpal-wabbit
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.