Abhinav Saini
Senior BizOps Engineer at Mastercard
San Francisco, California, India
Summary
👤
Senior🎓
Top SchoolAbhinav Saini is a Senior BizOps Engineer with 14 years of cross-industry experience spanning banking, travel, and telecom, currently based in San Francisco and working at Mastercard. He combines operational leadership with hands-on engineering—earlier roles include technical support leadership and senior software engineering across companies like Cybage, Ericsson, NICE, and Syntel. Abhinav contributes to open-source projects, notably improving Streamlit demos and UX around file upload/download features, and has implemented a Streamlit front-end for his Python Apriori algorithm work. His background in computer engineering (Mumbai University) and long tenure in support-to-engineering roles give him a pragmatic bent for turning operational needs into reliable technical solutions. Colleagues value his ability to bridge product, support, and engineering teams to ship user-focused tooling. He often surfaces subtle UX and documentation improvements that make complex features more accessible to end users.
14 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BE), Computer Engineering, Bachelor of Engineering (BE), Computer Engineering at Mumbai University MumbaiComputer Science, Computer Science at Delhi Public School, Navi Mumbai
Hindi, English
Github Skills (11)
streamlit10
python10
data-analysis9
algorithm9
algorithms9
refactoring8
option-parser8
documentation8
parse8
front-end-development8
ui-design7
Programming languages (2)
Github contributions (5)
asaini/Apriori
Dec 2011 - Sep 2022
Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
Role in this project:
Back-end Developer
Back-end DeveloperContributions:30 commits, 5 PRs, 22 pushes in 10 years 11 months
Contributions summary:Abhinav primarily focused on refactoring and improving the core Apriori algorithm implementation in Python. This involved modularizing the code, optimizing the main method, and adding support for option parsing using `optparse`. The user also updated the project's documentation by adding a license and disclaimer, as well as fixing the Markdown. Furthermore, the user added a Streamlit app to allow a more user-friendly interaction and added the function to support it.
aprioripython
streamlit/release-demos
Nov 2020 - Sep 2021
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 21 commits, 12 PRs in 9 months
Contributions summary:Abhinav contributed to the release demos for the Streamlit library. They focused on improving the file uploader functionality, consolidating re-runs, and adding examples for the download button feature. They also implemented new features like anchor tags and updated the documentation and demos within the Streamlit ecosystem. Their work involved both frontend (UI) updates and adjustments to the application structure.
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