
Raphaël Vannerom
AI Engineer - AI Agents | Automations | Data Sc.
Salaire / Taux journalier
Paris, France
Freelance
À distance uniquement
Expertises
Langues
À propos
Introduction
AI engineer and Data Scientist. Worked at Teads & Intuit with 9+ years building cutting-edge ML solutions. Built state-of-the-art Financial Language Models, RAG systems, and evaluation frameworks for LLMs at scale. Last experience as CEO of Zecall AI, specializing in GenAI, deep learning, and enterprise-level AI implementation to transform business operations.
Expérience de travail
Staff Data Scientist
Intuit
oct. 2021 - sept. 2024
3 ans
Israelândia, GO, 76205-000, Brésil
– building SOTA Financial Intuit Language Model (FILM) – building RAG system – building evaluation framework for LLM model and RAG system – fine-tuning LLM models
Outbrain
nov. 2016 - oct. 2021
5 ans
Tel-Aviv, Israël
Team Lead at Outbrain - Researcher & Algorithm Engineer
nov. 2020 - oct. 2021
1 an
Tel-Aviv, Israël
Researcher & Algorithm Engineer
nov. 2016 - oct. 2021
5 ans
Tel-Aviv, Israël
– Offline research and Production: – Collaborative and content based models – Implementing Personalized Factorization Machine integrated into Scala-Spark-based offline model framework (cf blogpost below for more information about the Model Framework) – Developing large-scale machine learning algorithm such as Neural network or Factorization machine – Data analysis on Jupyter notebook with Python and Pyspark – Deep learning: personalized neural network using Keras and TensorFlow. – Analytics and monitoring with grafana/kibana/redash – Languages: scala, spark, Python – Database related: hive, vertica, Cassandra, etc.
Data Analyst
Nextperf
mars 2015 - août 2015
6 mois
– Managed and optimized each account's campaigns to ensure success metrics are achieved – Performed complex statistical and business-oriented analyses for both internal and client-related purposes. – Data science project: Developed an estimate tool for the prediction of retargeting campaign volumes using R-studio and SQL Workbench. – Supervised regression problem solved using non-parametric statistical learning methods.
Formation
Israel Tech Challenge
Graduate Program, Data Science & Cyber Security
2015 - 2016
1 an 1 mois
École des Ponts ParisTech
French Diploma of Engineering, Mathematics, Economics, Finance
2012 - 2015
3 ans 1 mois
HEC Paris
Seminar, Entrepreneurship, Introduction to the Creation of Innovative Businesses
2013 - 2013
1 mois
The University of Hong Kong
Master 1, Statistics and Actuarial Science
2011 - 2012
1 an 1 mois
Université Paris Dauphine
Master of Science (M.Sc.), Mathematical Modeling and Decision
2011 - 2012
1 an 1 mois
Licences et certifications
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Délivré le : –
Generative AI Fundamentals
Délivré le : –
Neural Networks and Deep Learning
Délivré le : –
Structuring Machine Learning Projects
Délivré le : –