Ville Tuulos

CEO

San Francisco, California, United States27 yrs 4 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Co-founded Outerbounds, focusing on AI products.
  • Led Netflix's open-source machine learning infrastructure.
  • Authored Disco, a pioneering MapReduce implementation.
Stackforce AI infers this person is a SaaS and Open Source expert with a strong focus on Machine Learning and Data Infrastructure.

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Skills

Core Skills

Machine LearningEntrepreneurshipInfrastructureData ScienceData PlatformBig DataOpen Source

Other Skills

AIMapReduceErlangPythonCStandard MLData MiningDistributed SystemsResearchStart-upsLinuxMobile Technology

About

Outerbounds provides a developer-friendly platform for building data, ML, and AI systems based on metaflow.org, an open-source project we started at Netflix. Join thousands of friendly engineers and data scientists at http://slack.outerbounds.co to chat about infrastructure for ML, AI, and data, powered by Metaflow. Also, we are hiring: https://outerbounds.co/workwithus 👋

Experience

27 yrs 4 mos
Total Experience
3 yrs 3 mos
Average Tenure
5 yrs 2 mos
Current Experience

Outerbounds

CEO and Co-Founder

Mar 2021 – Present · 5 yrs 2 mos · San Francisco Bay Area · On-site

  • Helping customers build differentiated, standout AI products on Outerbounds
Machine LearningAIEntrepreneurship

Netflix

2 roles

Manager, Machine Learning Infrastructure

Jun 2019 – Mar 2021 · 1 yr 9 mos · Los Gatos, CA

  • Led the Machine Learning Infrastructure team and our open-source product, Metaflow.
Machine LearningInfrastructureOpen Source

Architect, Machine Learning Infrastructure

Aug 2017 – Jun 2019 · 1 yr 10 mos · Los Gatos, CA

  • Designed and developed the first versions of Netflix's new human-centric machine learning infrastructure, Metaflow, which is now open-source at https://metaflow.org
Machine LearningInfrastructureOpen Source

Adroll

3 roles

Head of Data

Jun 2016 – Aug 2017 · 1 yr 2 mos · San Francisco

  • Led various data and machine learning efforts at AdRoll.
Data ScienceMachine Learning

Senior Principal Engineer

Aug 2015 – Jun 2016 · 10 mos · San Francisco

  • Grew Prospecting to drive tens of millions of dollars of revenue working closely with business stakeholders.
  • Open-sourced traildb.io, a core component powering Prospecting and other data-intensive systems at AdRoll.
Data ScienceMachine Learning

Principal Engineer

Jun 2013 – Jul 2015 · 2 yrs 1 mo · San Francisco

  • Hired and led the first analytics team at AdRoll. Built a custom in-memory, JIT-compiling data store to power the analytics stack.
  • After this, led a team that designed, built, and operated AdRoll Prospecting, a new customer acquisition product based on PB-scale machine learning.
Data ScienceMachine Learning

Bitdeli

Co-Founder

Sep 2011 – Jun 2013 · 1 yr 9 mos · Palo Alto, CA

  • Co-founded a startup that built a novel scriptable data platform. You could define your own metrics and ML models in Python, using a slick in-browser IDE, while our backend took care of heavy lifting on AWS.
  • I was the CEO. Bitdeli was acquired by AdRoll in June 2013.
Data ScienceMachine Learning

Nokia

2 roles

Research Team Lead, Data Insight

Promoted

Jun 2010 – Jul 2011 · 1 yr 1 mo · Palo Alto, CA

  • Managed and grew a research team focusing on big data infrastructure, analytics, and machine learning.
  • Our skunkworks developed and operated the largest, petabyte-scale data repository at Nokia using Disco. We solved data challenges from basic KPIs to predictive models and visualizations.
Data PlatformMachine Learning

Member of Research Staff

Sep 2007 – Jun 2010 · 2 yrs 9 mos · Palo Alto, CA

  • Authored Disco (http://discoproject.org), an open-source implementation of MapReduce written in Erlang and Python. I helped to grow a small community around the project that has been active ever since.
  • Implemented Ringo (https://github.com/tuulos/ringo) that was one of the first open-source NoSQL databases designed after Dynamo, predating Cassandra and Riak.
Big DataMachine Learning

Maybit

Co-Founder

Nov 2006 – Dec 2008 · 2 yrs 1 mo · Helsinki, Finland

  • Founded a data science (before: business intelligence) consultancy.
MapReduceOpen Source

Helsinki institute for information technology

Researcher, Complex Systems Computation Group

Jun 2004 – Sep 2007 · 3 yrs 3 mos · Helsinki, Finland

  • Worked with a research group at University of Helsinki. Our research included Bayesian modelling, information theory, probabilistic information retrieval, multidimensional visualizations, and large-scale computation.
  • Some of my fun projects include a probabilistic web search engine (https://github.com/tuulos/aino), a large-scale urban game in NYC (http://www.youtube.com/watch?v=3ozUNUTNMT4) and 10+ papers (http://www.hiit.fi/cosco/publications).

Gurusoft inc.

Intelligent Systems Specialist

Dec 2000 – May 2004 · 3 yrs 5 mos · Helsinki, Finland

  • Gurusoft was a startup founded to commercialize self-organizing maps (http://en.wikipedia.org/wiki/Self-organizing_map), a peculiar kind of artificial neural networks.
  • We promised to revolutionize intranet search and document management by making it visual and probabilistic. The idea was way ahead of its time.

University of oulu

Research Assistant

Jun 1998 – Sep 2000 · 2 yrs 3 mos · Oulu, Finland

  • Developed systems to classify lumber, coffee beans, and movies based on computer vision.

Education

University of Helsinki

MSc — Computer Science

Jan 2000 – Jan 2007

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