Elvanova Labs
Product engineering, AI, and codebase rescue

I build new products, add practical AI, and rescue fragile codebases.

I help founders and teams ship reliable software: Next.js products, React Native apps, LLM workflows, Stripe payments, PostgreSQL backends, and systems that are safe to extend.

AI IntegrationRescue & RefactorNext.jsReact Native
Services

New builds, AI integrations, and codebase rescue.

Four clear service lines. AI and rescue work sit first because they are where product judgment and engineering depth matter most.

AI

AI Product Integration

I turn LLMs and generative media into product workflows users can rely on, not isolated chatbot demos.

  • Custom AI assistants
  • Image generation workflows
  • AI features in your products
  • Evaluation, guardrails & observability

Best fit: adding practical AI to SaaS, internal tools, creative workflows, or support operations.

Rescue

Rescue & Refactor

I take over fragile codebases, stabilize them, reduce technical debt, and make future shipping safer.

  • Legacy code takeover
  • Technical debt reduction
  • Documentation & stabilization
  • Characterization tests and migration plans

Best fit: products that work but are hard to change, hard to onboard, or risky to deploy.

Web

Product Engineering

Production-ready web applications with reliable backends, payments, APIs, and cloud integrations.

  • Web Application Development (Next.js + Node + PostgreSQL)
  • REST & GraphQL APIs
  • Secure Stripe payments
  • Cloud integrations & scaling

Best fit: SaaS products, dashboards, lead systems, and product foundations that need to scale.

Mobile

Mobile Product Development

React Native applications with polished UX, offline-first flows, and essential native integrations.

  • Mobile App Development (React Native)
  • High-performance iOS & Android
  • Polished UI/UX & offline-first
  • Essential native integrations

Best fit: mobile companions, MVPs, and cross-platform product surfaces backed by solid web systems.

Proof point

Form2Lead is one concrete sample, not the whole offer

The services define the offer. Form2Lead shows how the same product engineering discipline turns into a live SaaS, public case study, and controlled demo route.

Live SaaS productform2lead.vercel.app

Case study + product demo

Form2Lead

A lead capture SaaS used here as public proof of product execution, scalable foundations, and production-minded tradeoffs.

  • Public case study covering the problem, scope, architecture, and product decisions.
  • Safe demo route that shows the surface without exposing production workspaces or sensitive actions.
  • Reusable SaaS foundations across auth, billing, data boundaries, and app shell structure.

What is verifiable

A concrete product engineering sample

Verified

The proof is concrete: public routes, inspectable product choices, and a live surface that shows how the system is structured.

Frontend

Next.js 16

Data layer

Supabase + RLS

Billing

Stripe

Public surface

Case study plus live demo

The portfolio links directly to a product page and a live demo instead of describing hidden or unverifiable work.

Scalable core

Shared SaaS foundations

Auth, billing, shared packages, and operational boundaries are treated as reusable building blocks rather than one-off hacks.

Execution discipline

Clear product constraints

The public proof shows what is intentionally exposed, what stays read-only, and where production risk is deliberately constrained.

About

Product partner and AI acceleration.

Profile (EN)

Verified product partner

Paris / Remote5+ years

I'm a full-stack freelance developer focused on web, mobile, and AI integration. With several years of hands-on experience across international teams, I'm used to taking messy constraints, unclear codebases, and tight deadlines, and turning them into stable, maintainable products.

One public product beats a vague catalog

The portfolio now shows one inspectable SaaS instead of claiming a broad verified catalog. The point is execution you can check, not breadth you have to trust.

  • Public case study with real product tradeoffs
  • Live demo route separated from production risk
  • Reusable SaaS foundations across auth and billing
Tech Stack

Modern tools across the full stack.

I rely on a modern stack I know deeply to ship fast, integrate AI where it's useful, and keep your systems maintainable in production.

Web & Mobile Frontends

ReactNext.jsReact NativeTypeScriptJavaScriptTailwind CSS

APIs & Backend

Node.jsPostgreSQLFirebase/FirestoreREST APIsGraphQLSupabase

AI & Automation

OpenAI GPT-4LLMsHuggingFaceStable DiffusionReplicatePrompt engineering

Dev Quality

Git/GitHubCI/CDDockerVercelESLint/PrettierPerformance optimization
Experience

Startup and product team journey.

A mix of consulting and hands-on development on web, mobile, and AI-powered products.

2020 – 2023

Freelance Projects & Contracts

Full-Stack & AI Engineer

Rescued under-maintained apps, modernized stacks, and added AI components (GPT assistants, internal tools) for small teams, delivering custom web and mobile applications.

Jan 2020 – Jul 2020

GetGround.io

Full-Stack Developer

Implemented full-stack features on scalable APIs in collaboration with product and design teams in an international context, contributing to API architecture and frontend integration.

May 2021 – Oct 2021

YourLifeCard

Web/Mobile Developer

Delivered responsive web and mobile experiences with payments and user accounts for a lifestyle product, optimizing mobile performance and checkout flow.

August 2023 – Present

Budly Network

Full-Stack Developer

Building and maintaining production features on web and backend, with legacy module refactoring, key screen acceleration, and basic observability setup for production debugging.

Process

A clear, collaborative way of working.

1. Discovery & planning: understanding your product, goals, and technical constraints. 2. Design & development: architecting the system, building web/mobile/AI features, and integrating necessary services. 3. Testing & refinements: testing key flows, fine-tuning performance, and validating AI outputs for reliable results. 4. Delivery & follow-up: deployment, essential documentation, and support for next iterations. For AI features, I dedicate specific time to prompt design, guardrails, and UX so your users interact with a reliable product rather than a raw model. On rescue projects, I start by mapping the existing system and risks before any code changes, to avoid breaking what already works.

Contact

Let's talk about your next project.

Describe your project and I'll respond with concrete insights, a quick scope, and next steps.

Direct links

Describe your project and I'll respond with concrete insights, a quick scope, and next steps.