Raphaël Vannerom

AI Engineer - AI Agents | Automations | Data Sc.

Salaire / Taux journalier

Paris, France

Freelance

À distance uniquement

Expertises

LLMs / Large language modelsData ScienceIAAutomatisations No-codeData AnalysisMachine LearningDeep LearningPythonRequêtes SQLPySparkKerasTensorFlowGrafanaData EngineeringpandasRedisscikit-learnPyTorchAzureAWSPrometheusGoogle Cloud PlatformGitPostgreSQLn8nSites internetMakeZapierApplications No-code

Langues

Français (Maternelle)Anglais (Courant)Portugais (Courant)EspagnolHébreu

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.

Liens

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

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Generative AI Fundamentals

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Neural Networks and Deep Learning

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Structuring Machine Learning Projects

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