Thomas Gauthier Email and Phone Number
Thomas Gauthier work email
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Thomas Gauthier personal email
Full stack Machine Learning Leader with hands on experience deploying AI at scale. I enjoy digging into the implementation details of learning systems from algorithms to MLOps and seeing how they generate value in the real world.
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Senior Machine Learning Researcher - Human Centered Ai (Alignment)AppleNew York, Ny, Us -
Senior Data ScientistApple Aug 2022 - PresentCupertino, California, Us
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Data Science ManagerDeloitte Digital Sep 2018 - Aug 2022Usa, Us• Founded the Hux Data Science Group - Adapted the Skills Rubric and Career Ladder to Product Development roles - Designed the Interview Loop and closed 9 new hires - Created an 8-week Data Science bootcamp enabling Individual Contributors from different backgrounds to share a common set of knowledge• Re-architected Machine Learning stack - Researched Feature Stores (Tecton / Feast), Containerized Workflows (MLFlow / Kubeflow), AutoML (Data Robot / H2O) and Model Deployment (Algorithmia / KF Serving) solutions - Prototyped most promising architectures and studied scaling properties of the different stack configurations to de-risk technology choices• Tech Lead for 2 Data Science teams - Optimization: Leverage Online ML (Reinforcement Learning, Bandits) to tackle the cold start problem - Insights & Analytics: Leverage Offline ML to transform marketing cashflows into increases in Customer Lifetime Value -
Data Science Tech LeadMagnetic Apr 2018 - Aug 2018New York, Ny, Us• Managed a team of 4 Data Scientist• Engineered an event-based system (HBase) to synch the output of modeling pipelines with The Trade Desk, opening a new channel to monetize our AI and generating 500k in revenue• Coached AdOps and Sales to capitalize on Magnetic’s AI capabilities and differentiate in the marketplace• Spearheaded the Data Science transition activities resulting from Deloitte Digital’s acquisition of Magnetic -
Senior Data Scientist / Platform EngineerMagnetic Jan 2017 - Mar 2018New York, Ny, Us• Code-reviewed user propensity modeling pipeline (XGBoost) that valued 350M live profiles daily• Upskilled on Platform Engineering to implement Machine Learning features directly into Magnetic’s Real Time Bidding code base and deploy them on our production stack (AWS, Pypy, Micro-services, Distributed systems, Ansible)• Developed Magnetic’s Performance Evaluation framework (A/B testing) to measure the uplift of optimizations across 200 concurrent campaigns per day• Architected and implemented real time pacing (Reservoir sampling) and pricing systems (Control theory) that enabled the doubling of Magnetic’s auction processing capacity from 300k QPS to 600k QPS
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Data Scientist / Data EngineerMagnetic Jun 2015 - Dec 2016New York, Ny, Us• Joined at the closing of Magnetic’s Series C• Upskilled on Data Engineering to implement Machine Learning features directly into Magnetic’s Big Data code base and deploy them on our production stack (AWS, Python, PySpark, HDFS, Parquet, Luigi, Fab)• Upgraded hourly fraud detection pipelines (Outlier detection) using Magnetic’s Auction, Bid, Impression, Click and Tracking events to reduce post click bounce rate by 20%• Code-reviewed hourly click modeling (Vowpal Wabbit) and calibration pipelines
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Data ScientistGe Capital May 2013 - Jun 2015Norwalk, Ct, Us• One of the first hires in the Model Risk Management Group• Evaluated Econometric Models deployed to measure Loss Risk across GE Capital’s 500B book of Business• Evangelized a R+SQL stack to replace legacy SAS tooling -
Research EngineerGeorgia Institute Of Technology Jan 2010 - Apr 2013Atlanta, Georgia , Us• Accelerated aircraft design process by using designs of experiments to sample distributed CFD runs and build surrogate models• Implemented Genetic Algorithms & Simulated Annealing to solve non-convex systems design problems• Used Monte Carlo methods to simulate the propagation of uncertainty in aircraft sizing• Self-taught Python, C++ (Open MPI & CUDA) & Pig -
Project EngineerAirbus Jun 2009 - Dec 2009Blagnac Cedex, Fr• Supported the development of the yearly R&D roadmap
Thomas Gauthier Skills
Thomas Gauthier Education Details
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Georgia Institute Of TechnologyAeronautical And Astronautical Engineering -
Georgia Institute Of TechnologyAeronautical And Astronautical Engineering
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Ecole Nationale Supérieure D'Ingénieurs De Constructions AéronautiquesAeronautical And Astronautical Engineering
Frequently Asked Questions about Thomas Gauthier
What company does Thomas Gauthier work for?
Thomas Gauthier works for Apple
What is Thomas Gauthier's role at the current company?
Thomas Gauthier's current role is Senior Machine Learning Researcher - Human Centered AI (Alignment).
What is Thomas Gauthier's email address?
Thomas Gauthier's email address is th****@****tal.com
What schools did Thomas Gauthier attend?
Thomas Gauthier attended Georgia Institute Of Technology, Georgia Institute Of Technology, Ecole Nationale Supérieure D'ingénieurs De Constructions Aéronautiques.
What skills is Thomas Gauthier known for?
Thomas Gauthier has skills like Vba, Java, Microsoft Office, Financial Modeling, Python, Machine Learning, Analytics, C++, Aerospace Engineering, Optimization, Sql, Modeling And Simulation.
Who are Thomas Gauthier's colleagues?
Thomas Gauthier's colleagues are Hayam Samaha, Rob Brown, Kiley Atkins, Anil Kumar Pal, Celia Keany, Hollister Van Nice, Erhan Tekes.
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