Haritha Nair
Founder at Oqoqo
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolHaritha Nair is a product-focused founder and former Microsoft and AWS product/engineering lead with a decade of experience building AI-driven developer and enterprise tools. She blends hands-on machine learning engineering—contributing optimizers like AMSGrad to the mlpack C++ library—with product strategy, having led Sales Copilot and generative-AI contact center projects that drove measurable pipeline and NPS improvements. A Berkeley Haas MBA and published short-story author, she operates at the intersection of tech, society, and literature, favoring high-technical-challenge work with clear real-world impact. She has co-founded education and social initiatives and now builds startups from first principles in San Francisco, bringing both low-level optimization chops and product intuition to scalable AI solutions.
10 years of coding experience
4 years of employment as a software developer
Master of Business Administration - MBA, Business Administration and Management, General, Master of Business Administration - MBA, Business Administration and Management, General at University of California, Berkeley, Haas School of BusinessThe Indira Gandhi National Open University (IGNOU)Primary school, Primary school at GEMS EducationBachelor of Technology - BTech + Master of Technology - MTech, Information Technology and Management, Bachelor of Technology - BTech + Master of Technology - MTech, Information Technology and Management at ABV-Indian Institute of Information Technology and ManagementHigh School, High School at Amrita Vidyalayam
English, Malayalam, Hindi, Arabic, French
Github Skills (11)
algorithm10
machine-learning10
c-language10
deep-learning10
cpp10
cprogramming-language10
optimisation10
cplus10
optimizers10
optimization10
regression8
Programming languages (7)
Github contributions (5)
mlpack/mlpack
Dec 2017 - Jul 2018
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:71 commits, 11 PRs, 72 comments in 6 months
Contributions summary:Haritha implemented the AMSGrad optimizer, a variant of the Adam optimizer, within the `mlpack` machine learning library. The contributions included the implementation of `ams_grad.hpp` and `amsgrad_update.hpp`, which define the AMSGrad optimizer and its update rules. The user also added and modified test files like `adam_test.cpp` and `ams_grad_test.cpp` to test the functionalities of the AMSGrad optimizer and integrate it with existing testing framework.
regressionheaderdeep-learningscientific-computingc-plus-plus
mlpack/ensmallen
Dec 2017 - Jul 2018
A header-only C++ library for numerical optimization --
Role in this project:ML Engineer
ML EngineerContributions:14 commits in 6 months
Contributions summary:Haritha implemented the AMSGrad optimizer, a variant of the Adam optimizer, within the `ensmallen` library. This involved creating `ams_grad.hpp` and `amsgrad_update.hpp` files, defining the AMSGrad class and its update policy. The implementation includes parameters for step size, batch size, and decay rates. The user also integrated the new optimizer within the existing `mlpack` framework and tested the implementation.
optimization-methodsoptimization-algorithmsnumerical-optimizationheader-onlycplusplus
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