You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Augustin V.AV

Augustin V.

Supermalter

Software Engineer/CTO - AI Expert - JS/TS - Python

€1,100/day
5 projects
Paris, FR
8-15 years

Average response time: 1 hour

About Augustin

CTO & Tech Lead – GenAI / Full Stack / Cloud
  • Engineer in Applied Mathematics (CentraleSupélec) with 10+ years of experience in software engineering, now focusing on the architecture and delivery of GenAI systems for global leaders including Kering, Sanofi, and BNP Paribas.
  • I design and build AI-driven platforms combining RAG pipelines, agent-based workflows, and image understanding models with robust cloud infrastructure on AWS and GCP. My work spans from LLM orchestration and data pipelines to scalable back-end services and high-performance front-ends.
  • Previously, I co-founded and led two companies, Ignition Program (HR) and Kairn App (SaaS), where I served as CTO for over 8 years, driving both product and engineering strategy.
Skills: GenAI · RAG · Agents · Image-based AI · OpenAI · Gemini · MistralAI · TypeScript (NestJS, React) · Python (FastAPI, LangChain) · AWS · GCP ·Terraform
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Kering
    Tech Lead – Innovation & AI Tech Lead
    LUXURY GOODS
    September 2025 - Today (9 months)
    Paris, France
    Appointed by the Group Innovation Director at Kering to lead the conception and delivery of GenAI-powered products, from prototype to demo, with full technical autonomy.

    Responsible for building and packaging technical demos showcasing AI innovation across Kering’s Maisons, and conducting technical assessments and audits of solutions proposed by external providers.

    Among the delivered projects:
    - Repair Quote Chatbot: a prototype combining Gemini image analysis, agent-based workflows, and custom dataset construction to automatically generate repair quotes for in-store sales assistants of a luxury leather goods brand.

    - Merchandising Optimizer: a GenAI-assisted tool improving in-store display layouts for a ready-to-wear brand through visual reasoning and CP-SAT optimization, enabling data-driven decision-making for product placement.
    NestJs Terraform Amazon Web Services LLM React.js
  • Sanofi
    Team Lead – Software Engineering
    HEALTH AND WELLNESS
    September 2024 - September 2025 (1 year)
    Paris, France
    Recruited by the Global Head of Engineering to lead the development of two GenAI-powered document authoring platforms for Sanofi R&D: one for regulatory submissions, the other for clinical trial reporting.

    Managing a team of three engineers, owning the full-stack architecture, and working closely with data scientists on Python-based GenAI pipelines. Infrastructure is provisioned with Terraform and deployed on AWS (ECS, Lambda, API Gateway, S3, RDS, SSM), using GitHub Actions for CI/CD.

    Built ReactJS applications with React Query for fast, fluid UX and optimistic updates. Integrated collaborative, GenAI-enabled document editors using TipTap (with custom plugins), OnlyOffice (.docx editing), and a native Word Add-in.

    Designed a backend combining NestJS (Prisma ORM) for business logic APIs and real-time WebSocket communication, with Python services (FastAPI, Pydantic, Langchain, Boto3) powering OpenAI-based LLM structured outputs generation and a Retrieval-Augmented Generation (RAG) system. This includes a document parsing pipeline, vector indexing, and fine-grained access-controlled querying.
    Langchain NestJs Amazon Web Services LLM Terraform
  • Wine Services
    CTO Consultant
    WINE AND SPIRITS
    April 2024 - August 2024 (4 months)
    Paris, France
    Improved the Menu Parsing OCR pipeline by implementing image pre-processing to identify and isolate columns using a DBSCAN clustering process, and enhancing post-processing with GPT matching to map data to a structured output.

    Developed a trigram similarity matching algorithm for wines, enhancing accuracy in product matching.

    Set up a shared Django ORM across multiple Python projects to ensure data model integrity and consistency.

    Migrated infrastructure from Airflow tasks to a GCP cloud job, streamlining workflow and improving scalability.
    Image Processing LLM FastAPI Python Django

Reviews

5,0

Out of 2 ratings

T

Trevor

Sanofi - Digital Accelerators

Several months project

-

Reviewed on 30/10/2025

Augustin did a great job at the Sanofi Accerlator within our GenAI R&D division. He was on a renewable 3 month contract and we extended him 3x because of his value and contributions. He has strong leadership and technical skills (aws, node.js, react, typescript, interview/screening etc.). He has professional communication skills in both French and English. His strength was the ability to take a step back and focus on the end goal instead of the 2 week agile delivery targets. He communicates open and honestly and I would feel confident recommending Augustin.
A

Arthur

Emerton Data

Reviewed on 28/06/2022

Augustin est un excellent élément. Il est efficace tant sur des problématiques de design de features complexes que sur leur implémentation, avec de très bon standards de code (patterns, typage, etc.). Il est également de bon conseil sur des choix d'outils et d'infrastructure. Enfin, Augustin est une personne agréable au quotidien et fiable vis-à-vis de ses engagements.

Recommendations

Be the first to recommend Augustin

Help this freelancer shine by sharing your experience working together.

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Education

  • Master's degree in Engineering - Applied Mathematics for Signal and Information Processing
    CentraleSupélec
    2014
    Attending a leading Engineering School specializing in Power Systems Engineering, Computer Sciences, Control Systems and Signal Processing.
  • MPSI / MP* Field Of Study Mathematics & Physics
    Lycée Chaptal
    2011
    Two years of intensive studies in advanced math and physics to prepare and compete for the successful admission into a top French engineering school.

Certifications

  • Machine Learning
    Coursera
    2014
    Data visualisation Machine learning Pandas Data science Scikit-learn Matlab Python

Skill set

Categories