Abhinav Tuli
Founder at Carissa Title
Greater Houston United States
Summary
🤩
Rockstar🎓
Top SchoolAbhinav Tuli is a founder and software engineer with seven years of experience building ML-first infrastructure and startups, currently leading Carissa Title to streamline home closings. As a founding engineer and ML team lead at Activeloop, he helped design and ship Deeplake, an open-source database for large unstructured AI data, contributing backend features, PyTorch integrations, and documentation improvements used by Fortune 500 teams. He has a track record of founding and scaling products—from BiteSpeed’s e-commerce pivots to voice and bidding systems—and has mentored in the Google Summer of Code ecosystem. Based in Houston and trained at BITS Pilani, he blends hands-on backend and ML engineering with product-driven entrepreneurship and a knack for making complex data workflows more maintainable and testable.
7 years of coding experience
1 year of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Github Skills (6)
pytorch10
python10
testing10
database-management8
cloud-computing8
documentation7
Programming languages (4)
Github contributions (5)
activeloopai/deeplake
Aug 2020 - Jan 2023
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 releases, 1328 reviews, 1337 commits in 2 years 5 months
Contributions summary:Abhinav's contributions primarily focused on enhancing the functionality and testing of the codebase. They implemented auto-flushing features before PyTorch integrations and added extra tests to existing PyTorch integrations. The user also improved the documentation by refining the docstrings, demonstrating a focus on codebase maintainability and ease of use. Further, there are additions of test functions in "test_pytorch.py" and "test_storage_provider.py".
pythonreal-time-datadata-streamjupyter-notebookvisualize
gautamkrishnar/Hub
Oct 2021 - Nov 2021
Dataset format for AI. Easily build and manage datasets for machine and deep learning. Stream data real-time & version-control it. https://activeloop.ai
Contributions:72 commits in 24 days
version-controlreal-time-datadeep-learningdata-streamdataset
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