Decision Systems · In Production

What to show. What to say. What comes next.

I ship the ML that answers those questions — and I write my way up the theory of deciding, from statistics to reinforcement learning.

What to show: an event recommender inside a campus app. What to say: a chatbot that handles client intake and common legal questions. What comes next: sales and market forecasts for early-stage startups. Different products, same shape — a model, a Python backend, and a decision someone actually acts on.

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Focus
  • Reinforcement Learning & Decision-Making
  • Recommendation & Forecasting Systems
  • Product UX for AI
Currently
  • ML Engineer @ Ertaqy
    Design and build the Python backends for Ertaqy’s AI features, from API design to inference serving and deployment.
Brand origin

m101yosef is a version number

Read the middle of the handle: 1.0.1 — not the launch, the patch right after it. A 1.0.1 only exists because something real shipped, something broke, and someone fixed it. It's the most honest version number there is.

Ship. Notice what breaks. Fix it. Ship again. That loop is the whole brand — how I build, how I write. Nothing here is finished — just versioned.

Start here
Reinforcement Learning

Reinforcement Learning: All the Basics

A practical walkthrough of value-based and policy-based reinforcement learning, MDPs, and the main algorithms for engineers getting started with RL.

Latest Writing

Reinforcement Learning: All the Basics

A practical walkthrough of value-based and policy-based reinforcement learning, MDPs, and the main algorithms for engineers getting started with RL.

Top Projects
IEEE Vectories 2024

EVNTO

Centralized Mansoura University activity-booking concept informed by competitive research and a student survey, built with the IEEE Vectories team.

Graduation Project 2024

AQSA

A graduation-project concept for an AI-driven startup support system — a generative chatbot, an automated data analyser, and a forecasting module — scoped and designed as a team, not shipped as a product.

UX Research 2023

Grow Registration Form

UX research on registration-form steps and the effort users actually face at each one, challenging the assumption that fewer steps always means less friction.