Rayen Fassatoui
@rayenfassatoui
I build AI-powered full-stack platforms that improve hiring, analytics, and business workflows.
What I'm looking for
I'm building AI-powered recruitment workflows at Capgemini Engineering, including an Applicant Tracking System with semantic CV-to-job matching, OCR resume processing, candidate scoring, and natural-language analytics.
I use Next.js, React, TypeScript, FastAPI, PostgreSQL, pgvector, and RAG workflows to deliver type-safe SaaS products with role-based dashboards and practical AI features.
Previously, I built job-matching products for Aquil’App and conversion-focused AI-enabled experiences for Storegen.ai. At Aquil’App, SSR and code splitting increased user engagement by 60% and reduced time-to-hire by over 40%.
My work also includes internal analytics tooling, investment platforms, workflow automation, and projects such as PharmAI, Entretien AI, ClearSprint AI, AltScore AI, and FlowMatic.
Experience
Work history, roles, and key accomplishments
Designed and architected an AI-powered Applicant Tracking System to modernize recruitment workflows for HR teams and decision-makers. Implemented PostgreSQL with pgvector for semantic CV-to-job matching and engineered LLM workflows for OCR-based resume processing and interview-question generation.
Education
Degrees, certifications, and relevant coursework
Ecole Polytechnique Internationale
Engineering Degree, Software Engineering
2024 -
Pursuing an Engineering Degree / Master's-level Program in Software Engineering.
Tech stack
Software and tools used professionally
GitHub
Kubernetes
React Native
MySQL
PostgreSQL
MongoDB
Node.js
Laravel
Spring Boot
Next.js
.NET
Spring MVC
Tailwind CSS
React
JavaScript
Python
HTML5
Java
CSS 3
ASP.NET
Blazor
FastAPI
Gemini
GraphQL
Prisma
Firebase
Serverless
Zustand
TypeScript
JUnit
Chakra UI
Docker
React Server
SQL
Supabase
LangChain
Drizzle ORM
Shadcn/ui
Neon
Auth.js
OpenAI API
pgvector
NVIDIA NIM
Stack AI
Availability
Location
Authorized to work in
Website
rayenft.devJob categories
Skills
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