Vageesh Bhasin
Engineering Manager - Ads AI Infra @ Meta | Ex-AWS | Ex-Amazon
- Role
- Engineering Manager at Meta
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
Experience
Engineering Manager
Oct 2024 — Present · Seattle, WA, US
I lead teams that build & manage highly scalable heterogeneous graph infrastructure that serves as the backbone for the AI models powering the monetization programs across Meta. The team specializes in building and optimizing complex graph-based systems that power real-time super-fresh entity modeling for usages across AI initiatives such as ranking, retrieval, targeting, analytics, GenAI, GNN, etc. Our infrastructure supports highly scalable & super fast data modeling, real-time data updates, temporal data & its lineage, and rapid data traversal algorithms, ensuring that our ad stack can handle massive data volume and requests from various AI workloads. By leveraging advanced graph algorithms and cutting-edge technologies, we enable personalized and highly efficient ad experiences for users, driving performance and growth for Meta.Another area that I lead is highly scalable embedding data platform that powers the core of our machine learning and data-driven applications. We focus on building robust systems to efficiently handle large-scale, high-dimensional embeddings, enabling real-time model inference, offline model training & experimentation, personalized recommendations, and deep analytics. The platform is designed for performance and flexibility, supporting seamless integration with various machine learning models, data pipelines, and services. By leveraging cutting-edge technologies, we ensure that our embedding platform scales effortlessly, provides high availability, and accelerates innovation across the organization.Lastly, I lead data storage platform that underpins the organization\'s ability to manage vast amounts of data with speed, security, and reliability. We focus on building robust, distributed storage systems that ensure data is easily accessible, highly available, and optimized for performance across a variety of use cases.
Education
Arizona State University
Master’s Degree, Computer Science
2014 — 2016
JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA
Bachelor of Technology (BTech), Computer Science
2007 — 2011
St.Columba's School, New Delhi
Senior Secondary Education, Science
2005 — 2007
Skills
- Sql
- Linux
- Machine Learning
- Javascript
- Software Development
- Qt Creator
- C
- Programming
- Core Java
- Testing
- Angularjs
- Manual Testing
- Java
- Opencv
- Test Automation
- Ruby on Rails
- Unix
- Qt
- Jquery
- Web Applications
- Web Development
- C++
- Data Science
- Ember.js
- Html
- Node.js
- Pl/Sql
- Css
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