Freelancer profile translated to English.

Description

🚀CTO as a Service // Artificial Intelligence and Natural Language Processing

With over 8 years of experience in developing and deploying AI and NLP solutions, I will guide you through every step to transform your needs into concrete results.

💡My Services

- Design and implementation of **custom AI/NLP solutions**.

- Creation ofproofs of conceptto quickly test the viability of your ideas and move discussions forward.

- Creation ofdatasets(via API, extraction, adaptation of public datasets, etc.).

-Deploymentof solutions,cloudor **on-premise**, with expertise in **CI/CD and DevOps**.

- Analysis and improvement of existing models, application of the latest innovations.

-Evaluationof open-source or market solutions to help you make the right choices.

- Tailoredtrainingsessions for your teams/departments to demystify AI and NLP.

🎯Examples of Accomplishments

- Creation and management of an automatic translation infrastructure (250+ models, hundreds of millions of words monthly, 100% in-house).

- Implementation of production speech recognition systems supporting millions in business.

- In-depth expertise in NLP, actively participating in the community and research publications.

- Management of complex infrastructures (GPU servers, Kubernetes clusters), ensuring high availability and performance, even with tight budgets.

🤝Why Work Together?

I offer you my **versatility**, my ability to **quickly understand your needs**, and to provide **concrete solutions**.

I am committed to advancing your projects by bringing cutting-edge technical expertise, while ensuring that the implementation is pragmatic and adapted to your operational realities.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

EMZ Partners
Freelance - AI Full Stack
PRIVATE EQUITY
December 2024 - Today (1 year and 6 months)
POC and MVP of a RAG (Retrieval Augmented Generation) solution adapted to business data and needs.

POC -- specific parsers, logic validation, minimal interface
Stack: ChromaDB + LLMs (open/commercial) + streamlit

MVP -- logic streamlining, authentication, UI iterations, etc.
Stack: backend (FastAPI + PGvector), frontend (streamlit), Word add-in (React).

Deployment on client infrastructure, user onboarding.
Python React.js Artificial Intelligence LLM Docker
Dyjest
Freelance
HEALTH AND WELLNESS
November 2023 - August 2024 (9 months)
Proofs of concept and versatile support during the startup's incubation phase.
- Creation of a dedicated NLP micro-service to manage entry points specific to tasks and models;
- Introduction of automated build processes via Github Actions/AWS ECR;
- Robust data augmentation through prompt engineering;
- Finetuning of models (specialized NER, custom embeddings for semantic search, OpenAI LLMs), prompt engineering, and benchmarking of different tasks;
- Development of web scraping solutions for data augmentation and feeding Retrieval Augmented Generation (RAG) pipelines;
- Extension of Django backend functionalities to support new features.
Ubiqus
Chief Technology Officer
December 2021 - October 2023 (1 year and 10 months)
Paris, France
- Ensuring the stability and quality of backend NLP services, as well as public APIs and associated web platforms, managing most infrastructure and architecture topics;
- Training and onboarding new employees on the stack;
- Guiding strategic decisions on NLP and AI topics with the executive committee.