Sebastien TADIELLO

Artificial Intelligence Engineer

Groupe Pacte Novation•  January 2024 - Present•  Paris

Mission objectives: - Research and development on Large Language Models (LLMs): explore technological advances, evaluate new models, and implement innovative solutions to improve the performance and integration of LLMs in enterprise applications. Tasks : - Set up a technical infrastructure, enabling the development of artificial intelligence solutions. - Development and deployment of an in-house chatbot: Creation of a chatbot using various open source LLM models. - Chatbot memory optimization: Improved memory management to optimize chatbot performance and its ability to follow a structured conversation. - Setting up an information retrieval system (RAG): Implementation of a RAG to access and process internal company documents. - Research and development on BRMS process integration: Studies and implementations aimed at integrating Business Rule Management Systems (BRMS) with the chatbot to make business decision-making processes transparent and minimize the risk of LLM model hallucination, while making interaction with business tools natural.

Machine Learning Engineer

SCOR SE•  July 2022 - December 2023•  Paris

Responding to team needs with AI and algorithmic tools. Propose innovative ML solutions to the problems presented. Keep abreast of the latest technological developments. Monitor and ensure the robustness of the solutions developed. Text data processing (BERT, NER, GPT) Web data scraping (Selenium) Creation of data pipelines (Mlflow, Jenkins, Kubernetes) Data visualization (Python, Tableau, Power Bi) Web App development (Flask, Dash, API REST, Docker) Machine learning (Scikit Learn, Tensor flow)

Software Engineer

Laboratory of Experimental and Clinical Respiratory Neurophysiology - UMR-S 1158, Paris•  October 2021 - June 2022•  Paris

Natural Language Processing (NLP, BERT) data handling Analysis and processing of biological signals Study of inter-individual synchrony Development of algorithms for human-robot interaction

Artificial intelligence Engineer

Institute of Cognitive and Integrative Neuroscience, France•  January 2021 - June 2021•  Bordeaux

Data analysis and pre-processing, Implementation of a predictive model (random forest). Presentation of results at Cortico conference.

Gustave Eiffel University, Paris

Artificial Intelloignece, M.Tech•  September 2021 - September 2023

Data science courses at ESIEE (Ecole Supérieure d'Ingenieur en Electrotechnique et Electronique): - Machine learning| Neural networks - Text mining | Natural language processing - Network analysis - Statistics, probability, linear algebra, optimization - Python | R | SQL | Java | C++ - API, Docker & Cloud - Big Data Architecture