Services

Build, recover or industrialize a digital product with stronger foundations.

I step in when a product needs more than an interface: multi-stack backend architecture, API contracts, data, admin tooling, mobile, realtime, AI, SEO, tests and production must become one maintainable system.

Backend

Multi-stack backend architecture and API systems

Backend systems designed with Node/NestJS, Java/Spring Boot, Python, Go or PHP depending on the product context: domains, business rules, validation, security, persistence, transactions, DTOs and robust contracts.

Product

Full-stack product delivery

Public web, admin, mobile surfaces, backend and integrations delivered as a coherent product experience.

Recovery

Audit and technical recovery

Assessment of fragile codebases, unclear routes, technical debt, recurring bugs and recovery priorities.

Service areas

Technical services connected to real product problems.

Each area can stand alone, but the real value appears when backend, interfaces, operations, quality and visibility are designed as one system.

Backend

Multi-stack backend architecture and API systems

For products where data, permissions and workflows must remain reliable over time.

Product

Full-stack product delivery

Public web, admin, mobile surfaces, backend and integrations delivered as a coherent product experience.

To turn an idea or existing system into usable software, not only screens.

Recovery

Audit and technical recovery

Assessment of fragile codebases, unclear routes, technical debt, recurring bugs and recovery priorities.

To leave uncertainty, know what to fix first and avoid breaking what still works.

Operations

Backoffices and internal tools

Admin workflows, support, lead management, dashboards, useful logs and controlled business actions.

To make the product usable by the team, not only visible to end users.

Realtime

Chat, notifications and WebSocket

Visitor conversations, admin handoff, notifications, realtime events and product response loops.

For realtime features that serve clear usage instead of adding free complexity.

Quality

Hardening and targeted testing

Unit, integration, E2E, Schemathesis, k6, smoke, security, mutation testing and maintenance guardrails.

To prove critical flows and reduce regressions without decorative tests.

SEO

Indexing and technical visibility

Localized routes, metadata, sitemap, robots, useful content, performance, structured data, Search Console and clean measurement.

So the web product is understandable by users, recruiters, clients and Google.

Production

Deployment and observability

Docker, VPS, scripts, environment variables, logs, health checks, hardening and recovery procedures.

To move from a local project to an operable, observable and transferable system.

Detail

Full-stack product architecture example

From frontend to infrastructure, with quality, realtime and observability.

01INTERFACESInterfaces / User inputs

Public, mobile, admin and human entry points.

Public siteSEO pages, public content, forms and conversion.

Admin back-officePrivate interface for content, leads, support and decisions.

Mobile appMobile client connected to the same API, uploads and realtime.

Recruiter / Client / UserReal people triggering product workflows.

02EXPERIENCEExperience / Frontend orchestration

UI turns actions into state, forms, API calls and analytics.

Pages & UIScreens, sections, accessibility and visual consistency.

FormsCollection, client validation, errors and API transfer.

Application stateSessions, loading states, permissions and synced state.

ChatbotConversation connected to backend context and human handoff.

Analytics trackingFirst-party events, conversions and important actions.

03BACKENDBackend / API

Central orchestration: security, business logic, validation, contracts, logs and WebSocket.

Auth & rolesSessions, guards, permissions, roles and access control.

Business APIRoutes, services, use cases and documented product logic.

Chatbot / AIBackend module for context, safety and human handoff.

NotificationsTransactional notifications and admin visibility.

WebSocket GatewayLive connection without unnecessary polling.

DTO validationStrict DTO validation aligned with Swagger.

OpenAPI / SwaggerAPI docs for frontend, QA and contract tests.

Business logsUseful traces for diagnosis and handoff.

Realtime chatLive flow between user, chatbot, admin or support.

EventsImportant actions turned into usable events.

Live notificationsAlerts and state changes broadcast immediately.

RedisCache, sessions, throttling and process coordination.

04DATAData / Storage

Structured data, cache, files and search indexes by responsibility.

PostgreSQLRelational database, constraints, migrations and consistency.

RedisFast memory store for cache and broadcasting.

Object storageExternal storage for documents, images and media.

Search / IndexFast search, filters and content discovery.

05INFRA / QUALITYInfra / Quality

Infrastructure, visibility, documentation and a complete test battery.

DockerIsolated services and reproducible environments.

VPS / CloudTarget infrastructure, network, server and availability.

Reverse proxyHTTP routing, TLS, domains and headers.

Environment varsSecrets, URLs and runtime behavior.

Health checksHealth endpoints and smoke checks.

DocumentationRunbook, decisions and recovery procedures.

SitemapPublic page discovery.

RobotsIndexing rules and allowed surfaces.

Search ConsoleIndexing follow-up and SEO diagnostics.

AnalyticsTraffic, conversions and first-party events.

Lint / PrettierFormatting, TypeScript rules and readability.

Unit testsServices, DTOs, branches and critical rules.

IntegrationServices, database, transactions and modules.

E2EComplete API journeys and contract consistency.

SchemathesisOpenAPI fuzzing, DTOs and HTTP methods.

k6Latency, HTTP errors and load thresholds.

ZAPScan of exposed HTTP surfaces.

StrykerMutation testing against logical regressions.

Work chain

1Framing2Architecture3Implementation4Tests5Production6Continuous improvement

Clean backend

What the client should see behind the interface.

A serious backend is not only an API that responds. It is a readable, secure, tested, observable and transferable system. The client should understand what holds the product together: contracts, business rules, data, logs, scripts and documentation.

Public contracts

DTOs, validation, readable errors, OpenAPI/Swagger and coherent routes to avoid vague behavior.

Business domain

Services, rules, permissions, workflows and transactions organized around the product, not around file accidents.

Reliable data

Schema, relations, constraints, idempotency, migrations and consistency between application and database.

Real operations

Logs, health checks, scripts, variables, seed, documentation and recovery procedures so the project survives delivery.

Testing battery

Quality must be visible, not declared.

I propose a verification chain that attacks the product from several angles: code, API contracts, database, HTTP flows, performance, security, smoke and mutation testing.

The goal is not to write many tests. The goal is to test what would be expensive if it broke.

Static

TypeScript, lint, format, Prisma

Block structural errors before execution.

Readable codebase

Unit

Services, DTOs, guards, branches

Verify business decisions, exceptions, fallbacks and sensitive paths.

Protected rules

Integration

Modules, Prisma, transactions

Validate real collaboration between services, database and business effects.

Coherent system

E2E

Public HTTP flows

Prove exposed journeys respond as the contract promises.

Usable API

Schema

Schemathesis / OpenAPI

Attack Swagger, DTOs and validation to find contract gaps.

Hardened contracts

Perf

k6 and latency thresholds

Detect slow paths, HTTP errors and weak behavior under load.

Load signals

Security

ZAP, smoke, runtime

Check exposed surfaces, boot, health and public responses.

Watched surface

Mutation

Stryker

Verify assertions really detect regressions.

Tests that prove

What the client receives

A delivery that can be recovered, audited and continued.

The delivery should not be a black box. The client should leave with a system, a verification method and a base that the next team can operate.

Readable architecture

Domains, responsibilities, flows, contracts and technical boundaries.

Reproducible scripts

Build, test, smoke, migration, seed and runtime verification commands.

Usable reports

Coverage, Schemathesis, k6, ZAP, Stryker or logs depending on mission depth.

Clear handoff

Short documentation, technical decisions, known limits and next steps.

Engagement models

Precise enough for experts. Clear enough for decision-makers.

The work can begin as framing, construction, recovery or hardening. In every mode, the goal is the same: create a product path that is technically credible and easy to continue.

Architecture mission

Clarify domains, API design, data flows, risks and implementation path before the product becomes expensive to change.

Build mission

Deliver backend, public web, admin or mobile-connected surfaces with production expectations from the start.

Recovery mission

Review a fragile or blocked system, isolate causes and turn uncertainty into a realistic action plan.

Quality mission

Reinforce a critical module with tests, contracts, performance, security, logs and anti-regression strategy.

Production / SEO mission

Prepare deployment, observability, indexing, Search Console, first-party Analytics and recovery documentation.

Fit check

If the work needs backend depth and product clarity, start here.

Share the product context, current constraints and what needs to be decided or delivered. The form and chatbot are connected to the public backend to route the request cleanly.

Start a request See engineering proof