Kenan Gonnot Email & Phone Number
Who is Kenan Gonnot? Overview
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Kenan Gonnot is listed as Software Engineer II - AI and Agentic Systems | FactSet - Paris at FactSet, a with 14462 employees, based in Greater Paris Metropolitan Region, France. AeroLeads shows a matched LinkedIn profile for Kenan Gonnot.
Kenan Gonnot previously worked as Machine Learning Engineer at Manuquip and LLM Project at Indépendant. Kenan Gonnot holds Artificial Intelligence Engineering Degree, Artificial Intelligence, Validé from Esme Sudria.
Email format at FactSet
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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 🌐
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Kenan Gonnot work experience
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Machine Learning Engineer
- 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.
Llm Project
- 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
Machine Learning Engineer
- 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.
Colleagues at FactSet
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Mohan Sai Kolli
Colleague at FactsetAndhra Pradesh, India
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Arturo Lachenal
Colleague at FactsetMetro Manila, National Capital Region, Philippines
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Apurv Palekar
Colleague at FactsetHyderabad, Telangana, India
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Leela Sai Ellapu
Colleague at FactsetGreater Hyderabad Area, India
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Kiran Maddi
Colleague at FactsetHyderabad, Telangana, India
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Aravind Vignesh
Colleague at FactsetHyderabad, Telangana, India
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J Manideep
Colleague at FactsetHyderabad, Telangana, India
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Shekar Guntapelly
Colleague at FactsetAndhra Pradesh, India
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Jayson Segundo
Colleague at FactsetQuezon City, National Capital Region, Philippines
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Praveen Chowdhary
Colleague at FactsetBengaluru, Karnataka, India
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Kenan Gonnot education
Artificial Intelligence Engineering Degree, Artificial Intelligence, Validé
Baccalauréat Général, Mathematics
Frequently asked questions about Kenan Gonnot
Quick answers generated from the profile data available on this page.
What company does Kenan Gonnot work for?
Kenan Gonnot works for FactSet.
What is Kenan Gonnot's role at FactSet?
Kenan Gonnot is listed as Software Engineer II - AI and Agentic Systems | FactSet - Paris at FactSet.
Where is Kenan Gonnot based?
Kenan Gonnot is based in Greater Paris Metropolitan Region, France while working with FactSet.
What companies has Kenan Gonnot worked for?
Kenan Gonnot has worked for Factset, Manuquip, Indépendant, and Inagua.
Who are Kenan Gonnot's colleagues at FactSet?
Kenan Gonnot's colleagues at FactSet include Mohan Sai Kolli, Arturo Lachenal, Apurv Palekar, Leela Sai Ellapu, and Kiran Maddi.
How can I contact Kenan Gonnot?
You can use AeroLeads to view verified contact signals for Kenan Gonnot at FactSet, including work email, phone, and LinkedIn data when available.
What schools did Kenan Gonnot attend?
Kenan Gonnot holds Artificial Intelligence Engineering Degree, Artificial Intelligence, Validé from Esme Sudria.
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