Abhishek Verma
ML Engineering Manager at Meta (Ads Core ML)
- Role
- Ml Engineering Manager at Meta
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Abhishek Verma
Engineering leader, with 15+ years of experience in leading globally distributed high performing engineering teams. Inventor on 2 patents: Personalized Recommendation & Web Services- Supporting Ads Retrieval Team at Meta that is responsible for building ML models for finding the most relevant ~500 ads from 40million ads within a very tight latency budget of ~300ms- In the past, my teams at Oracle, have developed and successfully released 3 Cloud Services (Recommender System, Bots & Mobile Cloud) and 2 On-Premise Products (Web Services, Enterprise Integration)Skills- Proficient in field of Machine Learning, Data Engineering, Cloud Applications, Data Analytics, Data Management, & Distributed Computing- Skillful in managing products, projects and people, and driving execution- Able to transform on abstract ideas and vague requirements into product direction, strategy, roadmap and architecture - Leads from the front, always ready to deep dive when required - Enterprising with passion for lifelong learning and promoting among team members
Experience
Ml Engineering Manager
Jun 2022 — Present · Menlo Park, CA, US
Ads Retrieval and Ranking: My Team is responsible for building machine learning models for finding the most relevant 500 Ads for every user, from ~30-40million Ads, within a very tight latency budget of ~300ms. Responsibilities- Find personalized and engaging ads for users across the entire Meta family of products- Revamp existing ML solutions and principles for ads retrieval and multi-stage ranking- Enable global optimization of candidate generation process - Leverage new hardware & establish solid fundamentals for measurement and development process.Achievements: Shipped Meta Andromeda (https://tinyurl.com/yc2n9rhu): a personalized ads retrieval engine that leverages the NVIDIA Grace Hopper Superchip, to enable cutting edge ML innovation in the Ads retrieval stage to drive efficiency and advertiser performance.
Education
The University of Texas at Austin
Post Graduate Certificate Program, Artificial Intelligence and Machine Learning
Indian Institute of Technology, Roorkee
Bachelor of Engineering - BE, Computer Engineering
Skills
- Software Development Life Cycle (Sdlc)
- Big Data
- Java
- Leadership
- Business Process Improvement
- Middleware
- Agile Methodologies
- Augmented Reality
- Big Data Analytics
- Management
- Service-Oriented Architecture (Soa)
- Project Planning
- Machine Learning
- Bpel
- Software Development
- Oracle
- Cloud Computing
- Strategy
- Product Management
- Cloud Applications
- Web Services
- Project Management
- Object Detection
- Mobile Applications
- Soa
- Solution Architecture
- Image Classification
- Pl/Sql
- Java Enterprise Edition
- Enterprise Software
- Enterprise Architecture
- Integration
- Software Project Management
- Mobile Analytics
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