Leo Ding

Leo Ding Email and Phone Number

Staff Software Engineer in Meta, Ads Personalization System @ Meta
Leo Ding's Location
San Jose, California, United States, United States
Leo Ding's Contact Details

Leo Ding work email

Leo Ding personal email

n/a
About Leo Ding

SKILLS ML: NLP, Deep Learning, Feature Engineering System: Cassandra, Kafka, Redis, Spark, Spark Streaming, HDFS, SQL and Flask Language: Java, Python, C/C++, Perl, Matlab and Shell

Leo Ding's Current Company Details
Meta

Meta

View
Staff Software Engineer in Meta, Ads Personalization System
Leo Ding Work Experience Details
  • Meta
    Senior Software Engineer
    Meta Oct 2021 - Present
    Menlo Park, Ca, Us
    - Team lead and architect of Ads personalization system- ML feature generation and model training system- Trained BERT and XLM-R based Ads deep understanding taxonomy models.- Built ads content understanding inferencing pipelines for ads ranking system.
  • Linkedin
    Senior Software Engineer
    Linkedin Apr 2017 - Oct 2021
    Sunnyvale, Ca, Us
    - Built image, video management processing pipelines that consists of multiple component services- Provisioned hardware based video transcoding on live streaming and uploaded-video processing- Created cross data center proxy service for smoother user experience across different data centers.- Integrated image classification service to avoid sharing pictures that are not appropriate for the work environment.
  • Insight Data Science
    Data Engineer Fellow
    Insight Data Science May 2016 - Apr 2017
    San Francisco, Ca, Us
    - Built a data pipeline to recommend Reddit posts based on user’s personal preference- Used 3 years of user’s historical comments on Reddit topics, together with current real time Reddit topics and commenting activity as recommendation graph base- Implemented both batch layer and real time layer. Real time layer throughput was stable at 1000 comments/sec, which is 2 times of estimated Reddit current peak commenting rate- Stored historical data in Cassandra, kept user graph in Redis for real time fast update, and fed Spark Streaming with Kafka
  • Qualcomm
    Staff Engineer
    Qualcomm Aug 2012 - Apr 2017
    San Diego, Ca, Us
    - Predicted cellular phone connectivity and transmission speed, based on global field connectivity/speed data- Ran third-party Machine Learning algorithms on Graphics Processing Unit (GPU) and analyzed GPU performance bottlenecks on Machine Learning programs- Built performance model for Snapdragon 805, 810, 820 GPU - Provided GPU optimization suggestion and finalized into silicon
  • Marvell Semiconductor
    Staff Engineer
    Marvell Semiconductor Nov 2005 - Aug 2012
    Santa Clara, Ca, Us
    - Led a 5-engineer wireless base band team on several Wi-Fi 802.11b/g/n MIMO (2x3, 3x3) projects- Provided on-chip debugger with post process software tool for data analysis; this hardware/software joint method is a major baseband performance analyzer/debugger now- Increased productivity 10+ times and guaranteed bug free on register control block with a Perl script that directly convert word document to Verilog RTL code

Leo Ding Education Details

  • San José State University
    San José State University
    Computer Engineering

Frequently Asked Questions about Leo Ding

What company does Leo Ding work for?

Leo Ding works for Meta

What is Leo Ding's role at the current company?

Leo Ding's current role is Staff Software Engineer in Meta, Ads Personalization System.

What is Leo Ding's email address?

Leo Ding's email address is ld****@****din.com

What schools did Leo Ding attend?

Leo Ding attended San José State University.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.