I build the layerwhere agents stop being demos
I’m Younessan AI platform engineer in Ifranewho cares about the queue that backs up and the state that drifts
Business analytics student with a passion for AI, automation and prodcut design. Blending in technical curiosity with entrepreneurial drive, building tools that turn ideass into practical systems, ambitious, love fun, and focused on solving problems that drive impace
Four things that carry real traffic. Each one started as a diagram and ended as something on call.
An autonomous agent runs live technical interviews — holding a WebRTC session open, executing the candidate’s code mid-conversation, and defending its own prompt against injection.
Read the logPrompts stop being guesses once you can measure them. Fetch → Audit → Optimize → Validate scores every revision against a regression gate, so a change that reads better but performs worse never reaches production.
Read the logA multi-agent assistant that lives in Telegram. Routine work answers on a sub-second FastLLM stream; anything that needs to think forks off to parallel heavy agents and rejoins.
Read the logThe conscious wallet — a fintech engine correlating physical recovery data with spending behaviour, on the bet that money decisions are physiological before they are rational.
Read the logEvery role here ended with something automated that used to be done by hand.
Own the platform layer behind two production AI systems — the eval pipeline and the live interview agent — from schema to streaming transport.
A modular monolith carrying the full real-time WebRTC path.A multi-agent assistant in Telegram. Routine work runs on a sub-second stream; anything that needs to think forks off to parallel heavy agents.
Two-speed routing: sub-second replies, no loss of depth.The human API between a business that knew what it wanted and a team that needed it specified — killing ambiguity before it became rework.
A gap-analysis framework closing vision-to-delivery drift.A fintech engine correlating recovery data with spending behaviour, built on the bet that money decisions are physiological before they are rational.
90% test coverage · 60% faster infrastructure.Treated an organisation like a pipeline: found the manual handoffs, replaced them with triggers, and left the humans the parts that needed humans.
CRM automation cut operational latency 40%.Wrote the blueprints and testing frameworks that let design hand off to development without a translation loss.
Closed the design-to-development gap and its critical bugs.What is actually open on the second monitor.
Bachelor in Business Intelligence · Al Akhawayn University in Ifrane
9 write-ups on the systems above, what broke, what the fix cost, and what I would build differently.
A comprehensive platform for AI prompt optimization, job description generation, and automated interview setup.
Architecting a modular monolith for live AI interviews with real-time code evaluation.
A six-component Go workspace that fuses Git history, ASTs and ownership metadata into a living property graph you can interrogate in plain English.
A planning and artifact system that turns a goal into an inspectable plan, runs approved AI craft work, keeps every version, and refuses to let prompt text approve anything.
Architecting a high-concurrency engine correlating real-time biometrics and transactional data to solve the emotional blind spot in finance.
Transforming legacy manual environments into data-driven automated machines by treating organizational processes like technical pipelines.
Eliminating Business-Technical Debt by acting as the translation layer between high-level vision and granular execution.
Developing comprehensive blueprints and rigorous testing frameworks.
From a simple stateless chatbot to a proactive, multi-agent personal assistant living in my messaging app.
I’m most useful on the problems where a clever demo has to survive real users — the transport that has to stay open, the state that has to stay honest, the prompt that has to stay measured.
Open to platform and agent work, full-time roles, and long arguments about where the state should live.