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Elliott Vanwormhoudt

Elliott Vanwormhoudt

Student

Isen Lille

Technologies

Quantitative guru, enlightening the world with data-driven wisdom.

My Work

Take a look at my latest work.

DataLab

Competition - predict hotel cancellation

DataLab

Competition - employee turnover

DataLab

Competition - hospital readmissions

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

My DSO Manager | Sep 2024 - Present

Machine Learning & LLM Engineer

N/A

Picomto | Feb 2024 - Sep 2024

Data Scientist & Ml engineer intern

explores the potential of Multimodal Large Language Models (MLLMs) in industrial contexts. My primary focus is on identifying innovative applications of MLLMs to enhance data analysis and provide actionable insights to users. To achieve this, I'm designing and building a microservice architecture on Google Cloud Platform (GCP), which integrates our MLLM with various plugins, each responsible for tasks such as object detection, statistical analysis, and graph creation. This architecture enables the seamless interaction of multiple components, showcasing the power of MLLMs in industrial settings. Another key aspect of my internship is developing a machine learning model to detect anomalies between two images of industrial products. This model aims to improve quality control and anomaly detection, ensuring the highest standards of product quality. Throughout this internship, I've had the opportunity to hone my skills in Python, PyTorch, and transformers. I've successfully fine-tuned a Large Language Model and created a custom benchmark, demonstrating my ability to work with complex AI models. This proof-of-concept project has the potential to be integrated into a full-fledged solution for production, and I'm excited to contribute to its development. Key skills used: Python, PyTorch, transformers, machine learning architecture design, anomaly detection, image analysis. Key accomplishments: Fine-tuning a Large Language Model, creating a custom benchmark for model evaluation.
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Lili.ai | May 2023 - Aug 2023

NLP & AI engineer intern

I conducted a research internship focused on developing an advanced search engine using sentence embeddings and large language models. My key contributions included: Creating vector and text databases. Rigorous testing and optimization of search results. Implementing Named Entity Recognition (NER) for data extraction. Developing classification models for tagging and categorizing text data. Using LLMs to summarize queries results This internship deepened my expertise in natural language processing and search technology, making it an invaluable part of my professional journey.

Capgemini | Sep 2022 - Jul 2023

Student Ambassador

I am proud to be part of the 2022 student ambassador program of CapGemini The goals were : - Discover the jobs in the computer science's industry with immersions - Meet new peoples from various origins and various sectors of activity - Represent my university through activities that linked CapGemini and Students - Participate in conferences, and professional workshop

Metalians (SFAM - CFT - MDP) | Jun 2019 - Aug 2019

Machinist | engineer worker internship

During this internship, I discovered the world of Industry in a factory I was able to : - learn how to use machines and mills to create metallic parts - be part of a team, and help other peoples - being responsible of the safety of myself and others - follows order and provide values to the company

My Education

Take a look at my formal education

Engineer's degree, Big DataInstitut supérieur d'électronique et du numérique | 2024
Exchange student (master's level), Computer Science   in Computer scienceGhent University | 2024

About Me

Elliott Vanwormhoudt

Gen Ai ML engineer

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