Pete Skomoroch
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- Role
- Advisor at Common Crawl Foundation
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Pete Skomoroch
I\'m a senior executive with extensive experience building and running data science, AI, & machine learning teams, and was the former Head of Data Products at LinkedIn and Workday. I\'ve shipped AI products at public companies that scaled to hundreds of millions of users and drove significant revenue, engagement, and growth. I was a leader at one of the first data science teams, and helped define and evangelize data science and machine learning product development through publications, press and public speaking.I was most recently Co-Founder and CEO of SkipFlag, a venture backed deep learning startup which was funded by top tier investors including Accel Partners, Greylock, and OATV. We were acquired by Workday, a public company, in January 2018. Our technology used your internal communication, support tickets, and documents to automatically build and update an enterprise knowledge base. SkipFlag applied machine reading comprehension on this knowledge base to construct a knowledge graph of the people, topics, and facts within your company and autonomously answer questions.Previously, I applied my skills at LinkedIn, the world\'s largest professional network. I was on the early data team where I reported to DJ Patil and Deep Nishar as we grew from 400 to employees. As Principal Data Scientist and Head of Data Products, I managed a set of data teams focused on reputation, search, inferred identity and building data products. I was also the creator of LinkedIn Skills & LinkedIn Endorsements. Endorsements was one of the fastest growing new product features in LinkedIn\'s history with over 3 billion endorsements of more than 70 million members within the first year after launch.Before LinkedIn, I was Director of Analytics at Juice Analytics and Senior Research Engineer at AOL Search. Prior to AOL, I optimized pricing for Fortune 500 retailers, studied machine learning and neural networks at MIT where I focused on Biodefense projects funded by DARPA and the DOD. I have a BS in Mathematics and Physics from Brandeis University and research experience in Physics, Biology and Neuroscience.
Experience
Advisor
Nov 2011 — Present · San Francisco, CA, US
Common Crawl is a non-profit organization that builds and maintains an open repository of web crawl data that can be accessed and analyzed by anyone. It is the largest open web corpus available for NLP research. Common Crawl data is used by leading machine learning teams at Facebook, Google, Microsoft, and OpenAI to train state of the art natural language models like GPT-3, RoBERTa, and XLNet.
Education
Massachusetts Institute of Technology
Nondegree Student, Machine Learning
2004 — 2005
Brandeis University
B.S., Mathematics, Physics
1996 — 2000
Skills
- Distributed Systems
- Lucene
- Collaborative Filtering
- Neural Networks
- Algorithms
- Recommender Systems
- Nosql
- Python
- R
- Soundproofing
- Data Visualization
- Slack
- Soul Retrieval
- Yacht Racing
- Statistics
- Tensorflow
- Ruby
- Information Extraction
- Text Classification
- Django
- Datasets
- Machine Learning
- Sinatra
- Hadoop
- Product Management
- Big Data
- Rapid Prototyping
- Information Retrieval
- Amazon Ec2
- Mashups
- Statistical Learning
- Voldemort
- Amazon Mechanical Turk
- Natural Language Processing
- Linkedin Endorsements
- Bots!
- Data Science
- Public Speaking
- Apache Pig
- Hive
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