Nassim E.

SaaS B2B platform enabling car dealerships and merchants to automatically prospect private individuals selling their vehicles on major French classifieds sites.

The robot contacts sellers based on precise criteria and generates inbound calls without manual effort.

I designed the technical architecture from scratch: a decoupled monorepo separating the Next.js app from a standalone API, with a queue and retry system via BullMQ and Redis to robustly manage background jobs.

The core of the product relies on a scraping engine coupled with a precise targeting system - vehicle type, geography (PostGIS) - and complete automation of prospecting sequences.

I also led a team of 2 developers on the entire project.

Platform connecting freelance/job-seeking actuaries with insurance sector companies, in a market lacking a dedicated tool until now.

I designed the technical architecture from scratch on a Next.js full-stack base, leveraging Server Actions and Route Handlers to maintain a coherent codebase without over-engineering. The core of the product relies on a scoring algorithm ensuring the match between actuary profiles and company offers.

I integrated Stripe for monetization, Resend for transactional emails, and Supabase as the data layer with Drizzle as the ORM.

I also led a team of developers on the entire project.

SaaS B2B platform for training organizations and independent trainers. Developed in React.js on the frontend and Node.js (microservices architecture) on the backend, with MongoDB as the database. The core of the product is a step-by-step guided workflow allowing the creation of training programs and automatic sending of regulatory documents to participants (invitations, attendance sheets, certificates) — with PDF generation and Resend for mailing. Multi-profile management with distinct spaces and permissions for trainers, instructors, learners, and client companies. Training management interface in Kanban + calendar, and admin dashboard.