Vibha Sinha
Director - Technical PM - Machine Learning at Meta
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolVibha Sinha is a seasoned machine learning and engineering leader with two decades of experience building scalable ML infrastructure and cross-functional teams at Meta and IBM. She leads Technical PMs in Ads ML at Meta, focusing on transforming feature development and experimentation pipelines to make ML central to product and business outcomes. Her career bridges early-stage ML research (IBM Research), productization (IBM Watson), and large-scale ML operations (Facebook), underpinned by ~45 publications and 40 issued patents that reflect sustained impact. A hands-on contributor to open-source Watson SDKs and demos, she combines front-end, back-end and visualization experience with deep systems thinking. Known for developing tools that improve developer productivity, she has a track record of turning research prototypes into production-quality services across languages and domains. Based in San Jose, she is an ACM Senior Member who brings both technical breadth and organizational craft to complex ML challenges.
10 years of coding experience
22 years of employment as a software developer
University of DelhiM.S., M.S. at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
watson10
javascript10
css10
ui-design10
uid10
front-end-development10
html10
ibm-watson10
nodejs10
ejs10
typescripts8
typescript-types8
typescript8
bootstrap7
language-translation7
Programming languages (4)
Github contributions (5)
watson-developer-cloud/personality-insights-nodejs
Mar 2016 - Apr 2017
:bar_chart: Sample Nodejs Application for the IBM Watson Personality Insights Service
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:19 commits, 10 PRs, 7 comments in 1 year 1 month
Contributions summary:Vibha primarily contributed to the front-end development of the application, adding features such as a sunburst visualization and enabling Japanese language support. They modified the `index.ejs` and `sunburst.ejs` views, incorporated JavaScript files, and adjusted the `demo.js` and `public/js/` files to integrate the new visualization and language support. The user also made minor changes to the `app.js` file, likely for configuration and routing purposes.
chartibm-cloudjavascriptbar-chartpersonality-insights
watson-developer-cloud/tone-analyzer-nodejs
Feb 2016 - Apr 2017
Sample Node.js Application for the IBM Tone Analyzer Service
Role in this project:Front-end Developer
Front-end DeveloperContributions:18 commits, 9 PRs, 1 comment in 1 year 1 month
Contributions summary:Vibha primarily contributed to the front-end of the application, focusing on user interface improvements and bug fixes. Their work involved modifying the `ejs` template files and JavaScript code to enhance the display of emotion, language style, and social tendency analysis results. They implemented tooltips for different tone categories, improved the visual presentation of information, and addressed issues in calculations and score representation. Further contributions included UI adjustments for different sample use cases and overall presentation improvements.
ibm-tone-analyzertonenode-jstone-analyzernodejs
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