Freelancer profile translated to English.
Back to original languageAbout Ugo
For over four years, I have been developing back-end and machine learning applications in collaboration with several companies.
My interest in creating APIs and in natural language processing has led me to specialize in the Python language, which allows me to both help my clients improve their web applications and develop AI solutions that are as robust and fast as possible.
I offer my clients the following services:
📚 Writing development specifications, establishing a clear action plan
⚡ Developing secure and robust APIs with FastAPI
🛳️ Containerizing applications with Docker
🚀 Writing continuous deployment pipelines and setting up deployment architectures, for example with Gitlab CI and Docker-Compose
👷♂️ Parallelizing tasks within an application (multiprocessing, multithreading, Celery, etc.)
📊 Formatting and pre-processing machine learning data (Pandas, NumPy, Jupyter)
📈 Selecting, training, and deploying machine learning algorithms
I would be happy to help you accomplish your mission, so please do not hesitate to contact me!
The average daily rate indicated on my profile is indicative, any service is of course negotiable.
French
Native or bilingual
English
Native or bilingual
German
Conversational
Spanish
Conversational
Remote only
Primarily works remotely
Experience
- VirteemPython DeveloperTECHFebruary 2024 - July 2024 (5 months)End-to-end creation of the backend for the "Virteem Companion" SaaS, an AI-based documentary information search and onboarding assistant.🧬 Application Design🔸 Consideration of client and user needs🔸 Establishment of detailed specifications🔸 Task scaling over several sprints🔸 Creation of the technical stack (FastAPI, PostgreSQL, SQLAlchemy, docker-compose)🛠 Application Development🔸 Creation of the data model as well as Pydantic schemas and CRUD functions🔸 Development of HTTP endpoints and application configuration🔸 Management of authentication (OAuth2.0), multi-level permissions, sensitive data encryption, and user environment compartmentalization🔸 Draft implementation of Celery to allow for quick addition of asynchronicity and distribution of tasks into dedicated queues🔸 Integration of RAG (Retrieval-Augmented Generation) and LLM (Large Language Models) generation modules within the API🔸 Harmonization of the RESTful API (with detailed Swagger documentation) while serving the frontend UI/UX🔸 Agile development tracking with the team, and tool maintenance
- SEOQuantumPython DeveloperSOFTWARE PUBLISHINGFebruary 2023 - Today (3 years and 4 months)Development and maintenance of SEO performance audit applications and automatic text generation for our clients.🛠 Application Development🔸 Creation and continuous improvement of REST APIs with Python and FastAPI🔸 Development of SEO-oriented text generation tools with OpenAI and Anthropic🔸 Creation of a distributed web scraping module with Scrapy, Celery, and Redis🔸 Continuous maintenance and upgrade of existing systems (Python versions and environments, production application versions, etc.)🛳️ DevOps🔸 Containerization of various applications with Docker🔸 Development of continuous deployment algorithms with Gitlab CI🔸 Orchestration of the company's multiple applications with Docker-Compose🔸 Maintenance of a Kubernetes cluster with Terraform on OVH📈 Machine Learning🔸 Development of a semantic clustering module with HDBScan🔸 Maintenance of the ML models used🔸 Creation of an embeddings module and semantic comparison of web pages
- EarlyTracksNLP & Python ProgrammerMEDICALAugust 2020 - September 2022 (2 years and 1 month)Bruxelles, BelgiumDevelopment and maintenance of natural language processing applications in the hospital sector, as well as Python backend applications.🛠 Application Development🔸 Creation and continuous improvement of REST APIs with Python and FastAPI🔸 Design and programming of a natural language processing package🔸 Continuous maintenance and upgrade of existing systems (Python versions and environments, production application versions, etc.)🔸 Creation of text annotation tools to enable the generation of annotated datasets📈 Machine Learning and NLP🔸 Creation and continuous improvement of named entity recognition (NER) algorithms, sensitive data anonymization, and pre-processing and post-processing of complex medical data🔸 Production deployment and maintenance of ML models used by our clients🔸 Creation of embeddings adapted to specific French-Dutch medical language🛳️ DevOps🔸 Containerization of various applications with Docker🔸 Development of continuous deployment algorithms with Gitlab CI🔸 Orchestration of the company's multiple applications with Docker-Compose🔸 Evolution of our platform's hosting to AWS👨💼 Company Life🔸 Supervision and training of medical data annotator teams🔸 Member of an Agile SCRUM team🔸 Almost constant communication in English within an international and multilingual team
Reviews
Anthony
Seoquantum
Reviewed on 3/5/2024
Working with Ugo has been a remarkable experience. During his long-term Python-focused assignment, Ugo demonstrated a level of commitment and meticulousness that far exceeded our expectations. We are grateful for his significant contribution and would not hesitate to collaborate with him again in the future.
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Education
- Master in Natural Language ProcessingUppsala University (Sweden)2020Acquisition d'un large éventail de compétences dans le but d'automatiser le traitement du langage naturel : 🔸 Bases théoriques et pratiques du machine learning (Python, PyTorch, Keras) 🔸 Techniques de gestion de données à portée linguistique 🔸 Théorie linguistique (dependency parsing, constituency parsing, recherche documentaire, philologie appliquée) 🔸 Mathématiques appliquées au traitement du langage, à la recherche et au machine learning 🔸 Mémoire de recherche sur un semestre sous la supervision du professeur Joakim Nivre. Publication : http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1436746&dswid=-9248 🔸 Techniques avancées de programmation Python (algorithmes de recherche et de tri, programmation orientée objet, traitement du langage)