Robin LIETAR

Senior Software Engineer & Data Scientist at Wagetap
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Contact Information
us****@****om
(386) 825-5501
Location
Sydney, AU

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Experience

    • Australia
    • Financial Services
    • 1 - 100 Employee
    • Senior Software Engineer & Data Scientist
      • Sep 2022 - Present

      Sydney, Nouvelle-Galles du Sud, Australie

    • United States
    • Business Consulting and Services
    • 1 - 100 Employee
    • Part-time CTO
      • Apr 2022 - Sep 2022

      Carom is a post-pandemic social app designed to connect you in real life with like-minded people through unique experiences - wherever, whenever.

    • France
    • Higher Education
    • 100 - 200 Employee
    • Machine Learning Teacher
      • Jan 2021 - Jun 2021

      Introduction to Machine Learning : supervised and unsupervised learning.

    • France
    • Wellness and Fitness Services
    • 1 - 100 Employee
    • Machine Learning Consultant
      • Dec 2020 - Jun 2021

      Development of dental image recognition algorithms using Detectron, V7Labs and Google Cloud GPU.

    • Machine Learning Consultant
      • Jan 2021 - May 2021

      Full-stack developer and machine learning consultant for Kasparovchess on two subjects : • Anti-cheat detection : Conceptualization and implementation of ML algorithms for anti-cheat detection. Front-end : behavorial trackers, back-end : aggregation of data, back office for validation. • Development of a lag compensation algorithm on live chess

    • France
    • Civic and Social Organizations
    • CTO
      • Jan 2020 - Oct 2020

      Paris, Île-de-France, France Chief Technical Officer for the launch of the lekaba.fr website: • Development of the data flow: scrap, enrichment, manual corrections with Airtable and deployment on PostgreSQL base • Development of an API with Flask (Python) on Heroku • Supervision of web development in React.js • Product Management: management of weekly Sprints with the front developer and the designer, implementation of Tech and Product monitoring metrics, management of various work tools Amplitude, Heroku… Show more Chief Technical Officer for the launch of the lekaba.fr website: • Development of the data flow: scrap, enrichment, manual corrections with Airtable and deployment on PostgreSQL base • Development of an API with Flask (Python) on Heroku • Supervision of web development in React.js • Product Management: management of weekly Sprints with the front developer and the designer, implementation of Tech and Product monitoring metrics, management of various work tools Amplitude, Heroku, Zeplin, Airtable ... Show less

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Consultant for Crédit Impôt Recherche (CIR)
      • May 2020 - Jun 2020

      Writing files for companies with R&D in Machine Learning to access Crédit Impôt Recherche grant. - Realization of a state of the art on all the existing research in connection with the research project of the year - Detailed explanation of the research work provided and highlighting the innovation compared to the state of the art - Understanding of complex Machine Learning algorithms and simple transcription of their advantages and disadvantages

    • France
    • IT Services and IT Consulting
    • Co-Founder CTO
      • Mar 2017 - Nov 2019

      Paris At Vegg'up, we believe that adopting more often a vegetarian or vegan diet is the key to a brighter future. In 2018, we launched a mobile app to guide consumers towards the discovery of plant based food. We offer customised recipe recommendations, articles from certified nutritionists, and convenient features (basket, order, restaurants...). Two years after we have gathered more than 300k users with a high activity rate and good cohorts. I am in charge of the technical part which… Show more At Vegg'up, we believe that adopting more often a vegetarian or vegan diet is the key to a brighter future. In 2018, we launched a mobile app to guide consumers towards the discovery of plant based food. We offer customised recipe recommendations, articles from certified nutritionists, and convenient features (basket, order, restaurants...). Two years after we have gathered more than 300k users with a high activity rate and good cohorts. I am in charge of the technical part which includes: - Data treatment to enrich recipes, - Machine Learning to improve the user experience and get the best recommendations - iOS Development (Swift) Show less

    • Australia
    • Research Services
    • 700 & Above Employee
    • Research Intern - Machine Learning Dept.
      • Jan 2016 - Jul 2016

      Région de Sydney, Australie Natural Language Processing for the development of a software being able to detect traffic incidents based on social networks activity : • Used Data Mining with Python: web crawlers and Social APIs (Twitter, Facebook) • Implemented ML algorithms for text clustering, classification and named-entity recognition • Developed an iOS app providing a real-time incident reporting in New South Wales with Google Maps API

    • France
    • Food and Beverage Manufacturing
    • 1 - 100 Employee
    • iOS Developer
      • Mar 2015 - Mar 2016

      Paris BRIGIT is an innovative algorithm-based solution for agendas, event management and content sharing. • Developed a whole iOS Application, front-end (interface and lay-out) and back-end (model and communication with the API) with Objective-C • Worked in a team of 3 programmers to provide the best user-experience and meet the client needs

    • Data Scientist
      • Jul 2015 - Dec 2015

      Région de Berlin, Allemagne • Was part of making important business decisions by providing company stakeholders with valuable insights from the data • Combined communication (interaction with all Zencap departments) and analytic work (specification and data analysis) • Drove the end-to-end process of answering business questions with data analysis

    • Research Assistant - Robotic Dept.
      • Sep 2014 - Feb 2015

      Région de Paris, France Driving monitored by Virtual Reality : I decided to fully commit in a 6-month part-time research internship on the Oculus Rift (a virtual reality mask), in order to assess its capacity on driving simulation. I conceived a circuit, and recorded users’ performances in a database. The treatment of data enabled me to assess the performance of the Oculus Rift. I also learnt to use Unity in order to create a virtual cockpit for the Oculus Rift.

Education

  • MINES ParisTech
    Executive Engineering, Minor : Innovation and Entrepreneurship, Maths, Statistics, Computer Science, Machine Learning, Optimization, Project Management
    2013 - 2017
  • Université Pierre et Marie Curie (Paris VI)
    Master of Machine Learning and Big Data (DAC)
    2016 - 2017
  • Collège Stanislas Paris
    Maths & Physics MPSI/MP
    2011 - 2013
  • Lycée Fénelon, Grasse
    Baccalauréat, Scientifique
    2009 - 2011

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