Simon Potel

Full-stack software engineer & AI Engineer.

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Simon Potel

Simon Potel

Full-stack software engineer & AI Engineer

Lille, France

About.

I'm a developer, and what I love most is solving problems.

Today, I put my development expertise to work for real business impact: laying out a project's architecture, building it end to end, and augmenting it with AI where it brings a real gain.

6 years

of passion

2 years

of consulting expertise

Ecosystems

At home in the major cloud, data and AI ecosystems: I adapt to whichever one the project calls for, and I know how to get the most out of each.

Anthropic
OpenAI
Google Cloud
AWS
Cloudflare
Microsoft Fabric

Experience.

Four roles at Advanced Schema since 2025: from data-flow monitoring to AI agents.

Advanced Schema

Data-focused IT consultancy

Lille · 1 yr 5 mos

  1. Oct 2026 – presentFull-stack developerWork-study · 1 mo

    Between the Dev Factory and the AI Factory, I evolve the company's products and design new solutions for clients in luxury, banking and retail.

    • AI-augmented products: evolving existing products and launching new ones, with AI where it cuts costs or solves a complex problem.
    • AI agents in production: monitoring, diagnosing and fixing production, speeding up development, always under human approval.

    Tech stack

    Languages
    TypeScriptPython
    Front end
    Nuxt
    Back end
    NestJS
    AI
    LLMMCPLangfuse
    Cloud & infra
    Kubernetes
  2. Jun 2026 – Oct 2026Full-stack developerInternship · 5 mos

    Four months between the Dev Factory and the AI Factory, for clients in banking, luxury and retail: an agentic platform put into production, a self-remediation agent and a Cognos to Power BI migration.

    • Agentic platform in production: a consultant describes their know-how and gets a deployable agent, reusable across the company.
    • Monitoring screens generated by an agent: a few hours instead of several days per screen.
    • Self-remediation agent: an incident handled in 7 to 20 minutes instead of about 6 hours; in testing, 60% of anomalies resolved with no human intervention.
    • Security and governance: SSO, isolation between organisations, human approval of writes, a budget and traceability for every run.
    • Cognos to Power BI migration: real financial models imported with their lineage, from database to report, under more than 460 automated tests.

    Tech stack

    Languages
    TypeScriptPythonGoC++
    Front end
    Nuxt
    Back end
    NestJSKeycloak
    AI
    LLMMCPLiteLLMLangfuse
    Data
    Power BIPostgreSQL
    Cloud & infra
    DockerKubernetesHelmGitLab CI
  3. Sep 2025 – Jun 2026Full-stack developerPart-time internship · 10 mos

    Alongside my studies, a year within the Dev Factory on three fronts: a retail client's production, the company's data product and AI R&D.

    • Real-time monitoring (retail): flow-control interfaces made clearly faster and more responsive.
    • Cloud infrastructure: secured access, deployed services, hands-on during production releases.
    • Data product: transforming and enriching data inside the governance and modelling tool the company publishes.
    • AI and machine-learning R&D: retrieval-augmented generation (RAG), vector databases, predicting relationships between data.

    Tech stack

    Languages
    TypeScriptPythonGo
    Front end
    Vue.js 3
    Back end
    NestJS
    Data
    BigQueryPub/Sub
    Cloud & infra
    Google CloudDockerTerraformGitLab CI
  4. Jun 2025 – Sep 2025Full-stack developerInternship · 4 mos

    Within the Dev Factory, for a retail player: tools to monitor, trace and fix its financial data flows in real time.

    • Real-time monitoring: a per-flow configurable interface (volumes, success rates, gaps, alerts), where a new source plugs in within minutes.
    • Data lineage: end-to-end tracing of an object, to spot blockages and rejections at a glance.
    • A secure data-correction API: the client's partners fix their own data.
    • R&D: a ClickHouse, PostgreSQL and BigQuery benchmark (performance and cost), and a prototype AI assistant that explains a rejection in plain language.

    Tech stack

    Languages
    TypeScriptPythonGo
    Front end
    Vue.js 3
    Back end
    NestJSREST API
    Data
    BigQueryPub/Sub
    Cloud & infra
    Google CloudDockerTerraformGitLab CI

Education.

SUPINFO

Computer engineering degree (5 years)

Lille · 2024 – 2029

Licenses and certifications

  • AWS Academy Graduate – Cloud Foundations

    Amazon Web Services · Apr 2026

  • CCNA v1: Introduction to Networks

    Cisco · Dec 2025

Stack.

To me, technology is a means to solve a problem, never an end in itself. I rely on agility and real firepower in modelling and low-level work: foundations that make me an expert with these tools, without ever being limited to them.

GitHub

Languages

  • TypeScript
  • C++
  • Python
  • JavaScript
  • Go
  • C
  • PHP
  • SQL
  • GLSL

Frameworks

  • NestJS
  • React
  • Vue.js 3
  • Next.js

Frontend

  • Three.js
  • WebGL
  • WebGPU
  • WebXR
  • WebSockets
  • GSAP
  • Framer Motion
  • HTML5
  • CSS3

Runtime & APIs

  • Node.js

Cloud & infra

  • Jenkins
  • Portainer
  • WireGuard
  • Raspberry Pi

Data & BI

  • BigQuery
  • MySQL
  • ClickHouse
  • Pandas
  • NumPy
  • dbt
  • Power BI
  • Cognos
  • DataStage

DevOps & CI/CD

  • Docker
  • GitHub Actions
  • GitLab CI
  • Git
  • Linux

Testing & quality

  • GoogleTest
  • Jest
  • unittest
  • TDD

AI

  • Langfuse
  • LiteLLM

Design & tools

  • Figma
  • Blender
  • Jira

Methods

  • REST API
  • Scrum
  • Agile
  • Microservices

Expertise.

My goal: create value for the client, with the solution that best fits the need. I use AI where it cuts their costs, and where these new technologies make it possible to solve complex problems.

Build.

Build.

Building your product

From idea to a reliable product in your users' hands: I design and build your web application, then keep it evolving with them.

  • Web applications designed for your users
  • Regular releases, tested before each launch
  • A product that grows with your business

Structure.

Structure.

Scoping and foundations

The right choices from day one: a solution sized for your need and your budget, secure, and ready to grow.

  • A clear scoping of needs and priorities
  • Technical choices you can justify, at the right cost
  • A secure solution, ready to scale

Augment.

Augment.

AI that works for your teams

Fewer repetitive tasks, faster decisions: AI where it saves time or money, always under human control.

  • Assistants that answer from your documents and data
  • Repetitive tasks automated, approved by your teams
  • Controlled costs and a measured gain