Kenan Gonnot

Kenan Gonnot Email and Phone Number

Machine Learning Engineer Junior - Looking for opportunities @ Manuquip
france
Kenan Gonnot's Location
Greater Paris Metropolitan Region, France
About Kenan Gonnot

🎓 As a recent graduate in Artificial Intelligence, I am passionate about leveraging 🤖 machine learning and 📊 data science to solve impactful challenges. With hands-on experience as a Junior Data Scientist intern, I tackled complex problems using Python, TensorFlow, and advanced analytical techniques.🌟 Beyond my academic background, I expanded my expertise as a freelance data professional, developing tailored machine learning models and delivering actionable insights for diverse clients. My commitment to staying ahead of the curve is evident in my advanced online training in MLOps, equipping me with the skills to deploy and scale AI solutions efficiently.🚀 Driven by innovation and curiosity, I am eager to contribute to transformative projects that make a difference. Explore my work and accomplishments at https://kenan.gonnot.net 🌐

Kenan Gonnot's Current Company Details
Manuquip

Manuquip

View
Machine Learning Engineer Junior - Looking for opportunities
france
Website:
manuquip.com
Employees:
5
Kenan Gonnot Work Experience Details
  • Manuquip
    Machine Learning Engineer
    Manuquip Mar 2024 - Present
    - Project Leadership: Software development project to extract product data from supplier PDFs, generating a comprehensive Excel dataset. Utilized Data Analysis and Data Mining techniques.- Technical Skills: Implemented Retrieval-Augmented Generation (RAG) with advanced models like ChatGPT and Mistral for accurate NLP.- Software Development: Developed “PDFToExcel,” a custom application using Python to convert PDF data into structured Excel sheets, enhancing company website functionality.- Agile Practices: Collaborated with the Manuquip team using Agile methodologies, enabling rapid development, continuous feedback, and iterative improvements.
  • Indépendant
    Llm Project
    Indépendant Jul 2023 - Jan 2024
    Paris, Île-De-France, France
    - Model Training & Hyperparameter Tuning : Training of a Transformer-decoder model on a 10GB French corpus, reaching 255,000 epochs, optimizing tokenization and hyperparameters.- Model Parameters: Worked with models ranging from 10M to 7B parameters, enhancing performance and accuracy using Deep Learning techniques.- Deployment Infrastructure: Deployment using Flask, Docker, Kubernetes, and HuggingFace, ensuring scalable and efficient model serving.- GPU Utilization: vast.ai’s NVIDIA GPU
  • Inagua
    Machine Learning Engineer
    Inagua Jul 2022 - Dec 2022
    - AI Project Leadership: Led an AI project to enhance learner engagement at a dynamicstartup, using Agile methods for fast-paced development.- Interactive Solutions: Developed a web-based learning chatbot and automatedpersonalized MCQ generation using NLP.- Advanced Text Analysis: Implemented spaCy and Transformer models for textanalysis, summary generation, and topic modeling.- Deployment Expertise: Managed AI deployments using Kubernetes on Heroku and GCP.MLOps Pipeline: Prototyped an ML pipeline with Kubeflow to streamline operations.- Agile Practices.

Kenan Gonnot Education Details

Frequently Asked Questions about Kenan Gonnot

What company does Kenan Gonnot work for?

Kenan Gonnot works for Manuquip

What is Kenan Gonnot's role at the current company?

Kenan Gonnot's current role is Machine Learning Engineer Junior - Looking for opportunities.

What schools did Kenan Gonnot attend?

Kenan Gonnot attended Esme Sudria, Lycée Jacques Decour.

Who are Kenan Gonnot's colleagues?

Kenan Gonnot's colleagues are Jp Blard, Pierre Wang, Suzanne Blard, Sasha Blard.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.