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Data Engineer and Machine Learning Engineer
Jeremy Bertincourt
,
London, United Kingdom
Experience
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I'm offering
I'm a Data and Machine Learning Engineer with 5+ years experience. I also have experience as an entrepreneur as I participated in the creation of 2 startups.
I am used to building AI systems for startups such as data prediction, classification, items recommendation, computer vison and optimization with reinforcement learning. All this from scratch on AWS with serverless applications.
I am used to building AI systems for startups such as data prediction, classification, items recommendation, computer vison and optimization with reinforcement learning. All this from scratch on AWS with serverless applications.
Markets
United Kingdom
Links for more
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Industries
Language
English
Fluently
French
Fluently
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2019 - 2020
freelance
MACHINE LEARNING ENGINEER AS A CONTRACTOR
Fidem AI, Eve.
• Extracted clauses from contracts using Computer Vision in a scalable way on AWS for Fidem AI.
• Created the whole database of events on AWS at scale for Eve and predicted the probability of event cancellation.
• Mentored a junior Machine Learning Engineer.
• Created the whole database of events on AWS at scale for Eve and predicted the probability of event cancellation.
• Mentored a junior Machine Learning Engineer.
Machine learning, AWS, Database, Event, Computer vision, Ai, Contracts
2019 - 2019
job
ENTREPRENEUR
Entrepreneur First.
• Program to find a co-founder and build a company.
• Worked on injury prevention and prediction for professional sports clubs.
• Created an algorithm with computer vision and Deep learning to extract motion from a video and predict the activation of muscles.
• Worked on injury prevention and prediction for professional sports clubs.
• Created an algorithm with computer vision and Deep learning to extract motion from a video and predict the activation of muscles.
Video, Deep learning, Computer vision, Founder
2018 - 2019
job
CO-FOUNDER
Circular.
• Created an algorithm to extract the heart rate from people's fingers with an electronic ring.
• Created algorithms and an API to send the values to the server and predict the people's sleep phase.
• Created algorithm to detect a person's activity from its acceleration.
• Created algorithms and an API to send the values to the server and predict the people's sleep phase.
• Created algorithm to detect a person's activity from its acceleration.
API, Algorithms, Server, Founder
2018 - 2018
job
MACHINE LEARNING ENGINEER
Datatonic.
• Worked on POCs: Propensity models, recommendation systems, dynamic pricing with RL Definition of metrics appropriate to the problem.
• Pipelines implemented for Big Data on the Google cloud: Bigquery, DataFlow, Kubernetes, ML-Engine, Tensorflow.
• Responsable for the technical partnership with Google.
• Pipelines implemented for Big Data on the Google cloud: Bigquery, DataFlow, Kubernetes, ML-Engine, Tensorflow.
• Responsable for the technical partnership with Google.
Machine learning, Big Data, Kubernetes, Cloud, Google cloud, Tensorflow, Google
2017 - 2018
job
MACHINE LEARNING ENGINEER
White Lab.
• Retrieved pollution and allergen data from thousands of stations in the world.
• Created Machine Learning scripts (feature engineering, data visualization, models) that explain and predict symptoms with supervised
and unsupervised Machine Learning.
• Installed all the architecture on AWS from scratch with automated tasks and a MySQL database to ingest data. Measure of cost/performance of the solution.
• Created password protected APIs to access the data in real time.
• Created an object and human recognition program from a video stream with OpenCV and Deep Learning (Caffe + Google MobileNets + SDD).
• Created Machine Learning scripts (feature engineering, data visualization, models) that explain and predict symptoms with supervised
and unsupervised Machine Learning.
• Installed all the architecture on AWS from scratch with automated tasks and a MySQL database to ingest data. Measure of cost/performance of the solution.
• Created password protected APIs to access the data in real time.
• Created an object and human recognition program from a video stream with OpenCV and Deep Learning (Caffe + Google MobileNets + SDD).
Mysql, Machine learning, AWS, Video, Deep learning, Database, Architecture, Engineering, OpenCV, Visualization, Feature, Google
2016 - 2016
job
ARTIFICIAL INTELLIGENCE ENGINEER
Robert Bosch GmbH.
Improved the platform hosting algorithms on autonomous vehicles. It allowed algorithms to run faster and improved cars' control.
Participated in sprints of 10 minutes every day to build all necessary tools in an agile environment.
Participated in sprints of 10 minutes every day to build all necessary tools in an agile environment.
Artificial Intelligence, Agile, Algorithms, It, Hosting
2015 - 2015
internship
ARTIFICIAL INTELLIGENCE ENGINEER - INTERNSHIP
Thales Airborne Systems.
Implemented an intelligent fail-safe network of 6 heterogeneous calculators for civil and military airplanes leading to 3 times less
necessary calculators and the optimization of the components life time.
• Used an Android tablet so that pilots could easily move applications within the network.
• Created a Java application that shows in real time the CPU charge and temperature of each processor in the network.
necessary calculators and the optimization of the components life time.
• Used an Android tablet so that pilots could easily move applications within the network.
• Created a Java application that shows in real time the CPU charge and temperature of each processor in the network.
Java, Android, Artificial Intelligence, Less, Network, Safe, Internship
My education
2016
Georgia Institute of Technology
Nanodegree, Machine Learning
Nanodegree, Machine Learning
2010
-
2015
ESIEE
Masters, Engineering, AI
Masters, Engineering, AI
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