
Younes Oubelaid
@younesoubelaid
Full-Stack Developer at Sintek.io building paid web and AI products, including a live SaaS with 1,000+ subscribers.
What I'm looking for
At Sintek.io, I develop paid web and AI products for international clients, from specifications through production launch. Notaura, an AI PDF reader SaaS, has 1,000+ subscribers; I also built its Stripe subscriptions with per-user quotas, Google sign-up, and email verification.
For CoachSupport, I developed an AI assistant for coaches using RAG grounded in coaching methodologies and books, with custom chat types. I also implemented sign-in, a 14-day trial, and Stripe plans, and shipped client change rounds through launch.
At Naftal SPA, I worked on NaftTime, an HR attendance system deployed at seven sites. I replaced legacy software with a sync worker that reads ZKTeco time clocks and builds monthly attendance sheets, and contributed barcode orders, leave and absence documents, and on-premise Docker deployment.
I’ve also worked on restaurant POS and online ordering, staff management, and sales and distribution ERP modules. My work includes real-time systems and AI features, using tools and technologies such as Next.js, Node.js, PostgreSQL, MongoDB, and OpenAI and Mistral APIs.
Experience
Work history, roles, and key accomplishments
Full-Stack Developer & Co-founder
Sintek.io
Aug 2024 - Present (2 years 2 months)
Co-founded a two-person dev studio building paid web and AI products for international clients, from spec to production launch. Developed Notaura, an AI PDF reader SaaS with over 1,000 subscribers, and other client projects.
Software Development Engineer
Naftal SPA
Aug 2023 - Present (3 years 2 months)
Developed NaftTime, an HR attendance system deployed at seven sites, replacing legacy software with a sync worker reading ZKTeco time clocks. Built Naftal Staff Connect for gas station staff management with real-time notifications and bulk Excel import.
Education
Degrees, certifications, and relevant coursework
University of Science and Technology of Oran
MSc, Artificial Intelligence
2020 - 2022
MSc in Artificial Intelligence with coursework in machine learning, deep learning, computer vision, and NLP. Thesis on forest fire detection from satellite imagery.
University Centre of Naama
BSc, Computer Science
2017 - 2020
BSc in Computer Science from the University Centre of Naama from 2017 to 2020.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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