I build and run software systems

Full-stack applications, cloud infrastructure, and data platforms, built with tests and documentation that outlast the engagement. I also work on applied AI, including in regulated contexts. Remote from Montpellier, across the EU.

AWS DevOps · Pro

AWS Developer · Associate

Linux Foundation · IT Associate

What Sets Me Apart

I build and run software systems: full-stack applications, cloud infrastructure, data platforms, and the delivery pipelines around them. Applied AI is a natural extension of that work, and I have shipped it in regulated contexts where it must hold up to an audit: AnalyseContrat.fr, contract analysis grounded in French employment law, and pylegifrance, an open-source Python SDK for France's official legal database.

I integrate into your team rather than around it: I work in your Scrum cadence, and I write acceptance criteria as executable specifications, so "done" is verifiable and doubles as compliance traceability. Test-first by default, with architecture documented in C4 and ARC42 so the system stays legible long after the engagement ends.

Based in MontpellierAvailable for Remote Work · CET/CEST Timezone

Who I work with

B2B teams that need software systems built and kept running: full-stack applications, cloud infrastructure, data platforms.

Fully remote across the EU (CET/CEST), or hybrid around Montpellier.

Senior-engineering retainer, with engagement shape adapted to the project.

Working languages: French, English, Portuguese, Italian.

What I solve

You want to ship an AI feature, but one mistake could breach GDPR, DORA, or your sector's rules.

I build it so it works and holds up to an audit, with the compliance trail baked in from day one.

You have no senior engineer to own the hard technical decisions.

I step in as your senior engineering lead: architecture, vendor choices, hiring, code review. Senior judgment without a full-time hire.

Your backlog is a mess and features ship too slowly.

I take it over like a technical product manager: a clean, prioritized backlog plus DevOps and Scrum practices that make delivery predictable again.

Repetitive, manual work is eating your team's time.

I replace it with an automated workflow that cuts errors and scales without adding headcount.

You want a new website or web app, built to last.

I build it end to end on a solid, modern stack, tested and documented, so it's ready to grow instead of something you outgrow in six months.

Technical Expertise

Full-Stack Development

Proficient across the entire technology stack, from responsive frontends to scalable backend systems and database design.

Key Deliverables

Multi-tenant web apps with auth, payments, and role-based access

API design with OpenAPI specs, versioning, and rate limiting

Real-time collaboration features with WebSockets and optimistic updates

Core Technologies

React Next.js TypeScript Python FastAPI PostgreSQL Node.js Supabase REST GraphQL

Cloud Architecture & DevOps

AWS-certified professional with expertise in cloud-native infrastructure, containerization, and automated deployment pipelines.

Key Deliverables

Production-grade Kubernetes clusters with autoscaling and zero-downtime deployments

GitLab/GitHub CI/CD pipelines from commit to production with automated testing gates

Observability stacks with Prometheus, Grafana, and structured logging

Core Technologies

AWS Kubernetes Docker Terraform AWS CDK GitLab GitHub Actions Scaleway Hetzner OVH Sentry Prometheus Grafana

AI & Machine Learning Integration

Harness engineering and applied AI integration: building the scaffolding (agent loops, tools, memory, permissions) that turns AI models into reliable production agents, with strong background in agentic workflows and intelligent automation.

Key Deliverables

Multi-agent workflows with CrewAI for document processing and contract analysis

RAG pipelines connecting LLMs to proprietary business data

MCP servers bridging AI assistants with internal tools and APIs

Core Technologies

Harness Engineering Claude Code CrewAI Anthropic OpenAI Mistral AI LangChain MCP

Data Engineering & Analytics

Strong background in data pipeline architecture, real-time processing, and building analytics platforms for business intelligence.

Key Deliverables

Kafka-based event streaming for real-time data synchronization

ETL pipelines transforming raw data into analytics-ready datasets

Interactive dashboards with Streamlit for business intelligence

Core Technologies

Apache Kafka ETL Streamlit PostgreSQL AWS DynamoDB

How I Work

Built, tested, and documented to stay legible long after I hand it over.

01

Discovery & Planning

Deep dive into your requirements using Event Storming to map business processes, technical constraints, and objectives.

02

Architecture & Design

Model systems with C4 diagrams and maintain living architecture documentation with ARC42 so the codebase stays legible long after handoff.

03

Iterative Development

GitLab for CI/CD, milestone tracking, and code review. Behavior-Driven Development and test-first delivery, so acceptance criteria are executable and coverage survives handover. Day-to-day work uses Claude Code with team-shared rules, skills, and MCP servers so AI-assisted delivery stays consistent across the codebase.

Trusted by

Emmeti Fonderia

Projects

A selection of recent work across full-stack systems, cloud infrastructure, and applied AI.

2026

Emmeti Fonderia

Emmeti FonderiaFreelance

05/2026 → 06/2026

Software Engineer

Emmeti Fonderia

Cost optimization internal tool for an Italian bronze foundry: 9-phase PL/pgSQL cost engine, per-article routing, configurable rate tables, pgTAP test coverage.

Next.jsSupabasePL/pgSQLpgTAPScaleway+1

2025

OptimiaFreelance

12/2025 → 05/2026

Chief Technology Officer

Optimia

SaaS platform built from scratch as CTO, covering architecture, infrastructure, CI/CD, and team mentoring from day one

SupabaseScalewayGitLabScrumFull-Stack+1

Kigs

10/2025 → now

Senior Software Engineer, DevOps

Kigs

Harness engineering for a mobile app startup: CI/CD, TDD adoption, release process reliability, plus the agent rules and skills that keep AI-assisted delivery consistent across the team.

CI/CDTDDDevOpsMobileRelease Management+1

analysecontrat.fr

FREDFERREStudio

07/2025 → now

Founder & Studio Lead

analysecontrat.fr

Live production AI platform for French legal contract analysis: surfaces risks, key clauses, and obligations in minutes, grounded in French employment law.

CrewAIAnthropic APIReactPythonAWS Lambda+1

Pylegifrance

FREDFERREStudio

04/2025 → 07/2025

Founder & Studio Lead

Pylegifrance

Open-source Python SDK for Légifrance, France's official legal document database. Almost no one publishes one.

PythonOAuth2API IntegrationPagination

2024

AmbrosysEmployee

09/2024 → 02/2025

Backend DevOps Engineer

Mautmobile

Mobile toll payment app backed by a serverless API with full observability and progressive feature rollout

AWS LambdaAPI GatewayAWS PowertoolsObservability

Private / Internal

AmbrosysEmployee

05/2024 → 08/2024

Backend DevOps Engineer

Codesigner

Automated testing pipeline for ML models on virtual hardware with Docker orchestration and serverless infrastructure

Testing AutomationDockerServerlessS3

2023

BEAT

AmbrosysEmployee

09/2023 → 04/2024

Backend DevOps Engineer

BEAT

Data platform for GGI-Spermex's cattle breeding program, helping dairy farmers optimize mating decisions through statistical analysis

StrapiETLStatistical AnalysisData Platform

Mantik

AmbrosysEmployee

03/2023 → 08/2023

Backend DevOps Engineer

Mantik

Cloud infrastructure for an open-source AI workflow platform enabling ML model training and deployment on HPC clusters

AWS CDKInfrastructure as CodeGitLabReview Apps

2022

AMBER

AmbrosysEmployee

04/2022 → 02/2023

Backend DevOps Engineer

AMBER

GPS quality control platform for the German truck tolling system, automating statistical evaluation of positioning data across millions of vehicles

AWS EKSKubernetesGitLabKafkaMongoDB+1

Technical Blog

Deep dives into software engineering, architecture patterns, and modern development practices. All articles are published on my Substack newsletter.

Agentic DevOps

Automating the build pipeline between refined requirements and merged code: squads of Developer, QA, and Code Reviewer agents work in parallel on individual issues, with tests derived from Gherkin acceptance criteria and no planning checkpoint. Judgment stays upstream in refinement. The real lever is harness engineering, where the scaffolding around agents matters more than the model itself.

Read on Substack

Agentic Product Management

How AI agents reshape product refinement: human PMs collaborate with specialist agents (architect, developer, designer, analyst, QA) in real-time sessions, guarded by an ambiguity gate that blocks unresolved questions and a complexity score that forces big changes into multi-issue projects.

Read on Substack

The Bottleneck Was Never the Code

AI coding assistants are not bottlenecked by generation speed but by missing context. Inverting the workflow to spend 80% on specs and architecture turns documentation into machine-readable infrastructure for faster, more consistent delivery.

Read on Substack

Stop Sharing .claude/ Folders. Publish a Marketplace.

Why ad-hoc dotfile sharing fails for AI tooling, and how a Claude Code plugin marketplace turns scattered configurations into a single source of truth the team can version, review, and ship.

The Right Layer: Deciding Where Knowledge Lives in Claude Code

A decision framework for structuring Claude Code's 5 context layers: CLAUDE.md, Rules, Skills, Agents, and Hooks. Interactive guide with decision tree, comparison matrix, and scope hierarchy.

AI Dashboard Generator: Describe Data, Get Visualizations

How language models with structured output can turn plain-English descriptions into functional data dashboards, making visualizations disposable and on-demand.

Read on Substack

Deploying Strapi on AWS: A Flexible and Scalable Solution

A comprehensive guide to deploying Strapi CMS on AWS infrastructure. Learn how to set up a scalable, production-ready Strapi deployment using AWS services like EC2, RDS, and S3.

Read on Substack

Subscribe on Substack

What clients and teams say

Feedback from clients and teams I've worked with.

Emmeti Fonderia

06/2026

Frédéric quickly understood our cost-calculation process and delivered a reliable internal tool in a few weeks. The cost engine is accurate and well tested. Serious work, exactly what we needed.

Stefano Toniolo

Optimia

05/2026

We were looking for an expert capable of developing a SaaS MVP on a high-performance stack. Frédéric delivered exactly what was needed, mastering the Scaleway / Supabase ecosystem end-to-end. The GitLab deployment pipeline configuration is exemplary and meets the highest current DevOps standards. A worthwhile investment for anyone wanting a serious platform from day one.

Julien, Founder

Ambrosys

02/2025

Mr. Ferrera performed well across all areas of his responsibilities. He demonstrated solid analytical and creative thinking skills, quickly grasping new tasks and adapting effectively to changing circumstances. His resilience under pressure, flexibility, and problem-solving capabilities were significant assets to our team.

Employer reference

Let's build a system that lasts

Tell me what you're building. I'll help you ship it and keep it running, with the tests and documentation that keep it legible long after the engagement ends.

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