Sagar Hathwar
Senior Software Engineer at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolSagar Hathwar is a Senior Software Engineer based in San Diego with nine years of experience building ML-driven systems and full-stack web applications. He blends computer vision and machine learning expertise with strong Python, Java, and React skills, having shipped production features at Qualcomm and led UI and streaming-monitoring solutions at Nasdaq that cut load and improved performance. His academic background includes a high-achieving MS in Computer Science from UC San Diego and a B.Tech from PES University, and he has repeatedly supported teaching scalable analytics and data visualization. As an open-source contributor he improved Softmax Regression functionality in the well-regarded mlpack C++ library, demonstrating care for numerical correctness and test coverage. He has a track record of performance-minded engineering—e.g., reducing landing-page load times by 70% and lowering server load by up to 40%—and enjoys turning research-grade ML into reliable production services.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.47 / 10.0, Bachelor of Technology - BTech, Computer Science, 9.47 / 10.0 at PES UniversityUniversity of California, San Diego
English, Kannada, Hindi, Sanskrit
Stackoverflow
536reputation
39kreached
11answers
11questions
Github Skills (17)
machine-learning10
regression10
cplus10
cpp10
armadillo9
data-structures8
boost8
data-structure8
algorithms8
algorithm8
deeplearning-ai7
deep-learning7
computer-vision6
matrix-multiplication6
opencv6
Programming languages (4)
Github contributions (5)
mlpack/mlpack
Mar 2017 - Apr 2017
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:5 commits, 2 PRs, 7 comments in 12 days
Contributions summary:Sagar primarily contributed to the `mlpack` library by adding and refactoring classification methods related to Softmax Regression. They implemented new functionalities such as an overload for the `Classify` method, allowing for more flexible use of the algorithm. The commits include changes to existing test cases and the creation of new ones to validate the updated `SoftmaxRegression` implementation, ensuring the correctness and reliability of the code.
regressionheaderdeep-learningscientific-computingc-plus-plus
sagarbhathwar/Without-A-Hitch
Oct 2017 - Nov 2017
Contributions:24 commits, 5 PRs, 16 pushes in 1 month
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.