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Yazan Al Samman

About

Artificial Intelligence Engineer and CTO at VegaCORE. I build intelligent systems — LLM-driven task generation and assignment, AI-assisted medical diagnosis, and fuzzy-logic and neural-network robot navigation — together with the software infrastructure around them.


Portrait of Yazan Al Samman
Yazan Al SammanArtificial Intelligence Engineer

Profile

Title
Artificial Intelligence Engineer
Role
Chief Technology Officer (CTO) · VegaCORE
Education
Bachelor of Information Technology · Arab International University (AIU) · 2026
Focus
Artificial intelligence · Robotics · Software engineering
Selected systems
07
Verified skills
60

I am an Artificial Intelligence Engineer and the Chief Technology Officer at VegaCORE, with more than four years of professional experience in systems analysis, requirements analysis, evaluating appropriate technologies, and designing and building technology solutions.

My work sits where intelligent components meet production software. In the AI Intelligence Project Management System I combined LLM-based task generation, a custom neural network with FAISS retrieval, a greedy assignment algorithm with time-conflict detection and an expert system for task classification. I have built a K-nearest-neighbours breast-tumour classifier served through a Flask API, and a neuro-fuzzy (FIS and ANFIS) controller for obstacle-aware robot navigation.

Around those components I design the platforms they run in: a multi-tenant restaurant-reservation SaaS on NestJS, PostgreSQL, Redis and BullMQ with real-time updates and token-family authentication; the VegaCore Operating System; a documented architecture for a trading-analysis backend with a model registry and explainable signals; and a microservice system on Spring Cloud.

I studied Information Technology at the Arab International University (AIU), graduating in 2026.

Selected systems

  1. AI Intelligence Project Management SystemArtificial intelligence · 2026 · 15 technologies
  2. Tavola — Multi-Tenant Restaurant Reservation PlatformSoftware engineering · 20 technologies
  3. Dr. Elias Dahdal Clinic — Clinic Management SystemSoftware engineering · 11 technologies
  4. Trading AI Assistance — Backend ArchitectureArtificial intelligence · 10 technologies
  5. VegaCore Operating System (VOS)Software engineering · 12 technologies
  6. Breast Tumor Diagnosis SystemArtificial intelligence · 5 technologies
  7. Robot Obstacles Avoidance System (Fuzzy System, Neural Networks)Robotics · 5 technologies

Engineering principles

  1. Documentation before code

    Architecture, domain model and decision records come first; implementation follows accepted decisions instead of guessing unresolved ones.

  2. Deterministic where it matters

    Probabilistic components propose; deterministic, testable logic decides — assignment, scheduling, pricing and state transitions stay verifiable.

  3. Explicit boundaries

    Domain, application and infrastructure are separated; external providers sit behind adapters so they can be replaced and tested in isolation.

  4. Security in the definition of done

    Authentication, authorisation, rate limiting, validation and audit logging are part of a feature, not a later hardening pass.

  5. Measured, not estimated

    Performance and quality claims come from measurements and test suites; where a number is unknown it is reported as unknown.

  6. Graceful degradation

    Every enhanced experience has a complete fallback — an intelligent component failing must never take the product down with it.

Systems map

Where each selected system sits in the expertise model, derived from the technologies recorded on its case study.

Education

  1. 2026

    Bachelor of Information TechnologyArab International University (AIU)

    During my studies, I gained a strong foundation in information technology, focusing on innovative problem-solving and the development of scalable, user-centered solutions.