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Yahya El Haj Eid

Yahya El Haj Eid

Full-Stack AI Trainer & Code Evaluator | Arabic NLP Expert

Lebanon flagTripoli, Lebanon
$25.00/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

Software Engineering & Code Evaluation
Arabic NLP & Bilingual AI Training
AI Agent Orchestration & RLHF

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

RLHFRLHF
Evaluation/RatingEvaluation/Rating
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Red TeamingRed Teaming

Freelancer Overview

Full-stack technical operator and AI systems builder with 3+ years of hands-on experience designing, deploying, and evaluating production-grade software platforms. Founder of LibanReach digital agency, where I architect AI-integrated systems using FastAPI, Next.js, PostgreSQL, Docker, and n8n orchestration. Built and maintain PromptEngineer — a live SaaS platform with 53 API endpoints, JWT authentication, and multi-tier subscription billing. Daily work involves evaluating AI-generated code, reviewing system architecture decisions, and assessing LLM output quality against real engineering standards. Native Levantine Arabic speaker with professional English fluency — strong asset for bilingual AI training and Arabic NLP evaluation tasks. Background includes formal AI studies (Bachelor of Artificial Intelligence, IU Applied Sciences Germany) and hands-on experience across data operations, IT infrastructure, and technical project delivery.

IntermediateEnglishArabicFrenchRussian

Labeling Experience

RLHF Evaluator

TextRLHF
At LibanReach, I lead tasks that require understanding and assessment of the reasoning quality of AI-generated outputs, contributing directly to reinforcement learning from human feedback processes. This includes ranking possible responses, evaluating alignment with user intent, and annotating reasoning flaws or strengths. My contributions help guide how AI agents interact and escalate decisions based on set autonomy ceilings. • Conducted RLHF evaluations of LLM prompt and response pairs. • Ranked multiple system outputs for relevance and practical value. • Identified edge cases and provided annotations for model retraining. • Led alignment and escalation scenario evaluations for executive AI agents.

At LibanReach, I lead tasks that require understanding and assessment of the reasoning quality of AI-generated outputs, contributing directly to reinforcement learning from human feedback processes. This includes ranking possible responses, evaluating alignment with user intent, and annotating reasoning flaws or strengths. My contributions help guide how AI agents interact and escalate decisions based on set autonomy ceilings. • Conducted RLHF evaluations of LLM prompt and response pairs. • Ranked multiple system outputs for relevance and practical value. • Identified edge cases and provided annotations for model retraining. • Led alignment and escalation scenario evaluations for executive AI agents.

2025 - Present

AI Code & Output Evaluator

Computer Code ProgrammingEvaluation Rating
As founder and technical director at LibanReach, I routinely evaluate and critique AI-generated code and architectural decisions as part of production system development. This work involves rating outputs for correctness, code quality, and adherence to engineering standards using both manual and automated review processes. My daily workflow incorporates hands-on evaluation and optimization of AI and agent system outputs to ensure robust product quality. • Evaluated AI-generated code for logic and compliance. • Rated reasoning chains in multi-agent orchestration scenarios. • Assessed real-world effectiveness of LLM and AI-driven outputs. • Provided critical feedback to improve AI model reliability.

As founder and technical director at LibanReach, I routinely evaluate and critique AI-generated code and architectural decisions as part of production system development. This work involves rating outputs for correctness, code quality, and adherence to engineering standards using both manual and automated review processes. My daily workflow incorporates hands-on evaluation and optimization of AI and agent system outputs to ensure robust product quality. • Evaluated AI-generated code for logic and compliance. • Rated reasoning chains in multi-agent orchestration scenarios. • Assessed real-world effectiveness of LLM and AI-driven outputs. • Provided critical feedback to improve AI model reliability.

2025 - Present

Education

I

International University of Applied Sciences

Bachelor of Science, Artificial Intelligence

Bachelor of Science
2022 - 2024
A

Azm Institute

Technical Baccalaureate, Information Technology

Technical Baccalaureate
2019 - 2021

Work History

L

LibanReach

Founder & Technical Director

Tripoli
2025 - Present
M

MH Solutions

Co-Founder & Technical Lead

N/A
2024 - Present