Rohini Kulkarni
Senior Software Engineer at HubSpot
United Kingdom
Summary
👤
Senior🎓
Top SchoolRohini Kulkarni is a Senior Software Engineer based in the UK with over a decade of professional experience and 8+ years focused on backend development. She has a strong track record across startups and enterprise teams—shaping core NLP and data-versioning systems at Niki, improving parsing accuracy and infrastructure, and most recently contributing to production-scale systems at Quantcast and HubSpot. Her open-source work on opencog highlights deeper interests in NLP and machine learning, including building components for language understanding like MSTLinkNodes and mutual information calculations. Comfortable across AWS, Redis, and microservices, she prefers roles where software development encompasses design, data modeling and operational robustness rather than just coding. Colleagues describe her as a technology enthusiast who quickly adopts new tools while keeping an eye on maintainability and scale.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at Vishwakarma Institute Of Technology
English, Hindi, Marathi
Github Skills (4)
unsupervised-learning10
nlp10
natural-language-understanding9
agi8
Programming languages (4)
Github contributions (5)
opencog/opencog
Mar 2015 - Sep 2015
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
Role in this project:
Backend Developer
Backend DeveloperContributions:22 commits, 16 PRs, 5 comments in 6 months
Contributions summary:Rohini primarily contributed to the `opencog/opencog` repository by implementing and refining components for the natural language processing (NLP) and machine learning aspects of the project. Their work focused on developing modules for creating MSTLinkNodes, extracting disjuncts, and calculating mutual information for word pairs within sentences. These commits suggest involvement in building core functionalities related to the system's understanding of language and relationships between words. Furthermore, the user worked on defining and refining the data model for atoms used in the system.
unsupervised-learning-algorithmsroboticsnatural-language-understandingartificial-general-intelligenceintegrated
rohit12/opencog
Mar 2015 - Mar 2015
Contributions:19 pushes, 6 branches in 28 days
artificial-general-intelligenceintegratedagiartificialmachine-learning
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