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Eyad E.

Eyad E.

NLP & Prompt Engineer · Senior

United Arab Emirates · Rate on request

Professional Overview

​AI Engineer specializing in production-grade LLM architecture, agentic workflows, and real-time automation logic. ​I skip the prototype phase and build scalable AI systems designed for live operational workflows. From real-time RAG systems with semantic caching to multimodal document verification engines, my focus is always on measurable outcomes

Experience

Company
Baron and Cabot
May 2027 – Present
Role title
AI Engineer

AI Expertise

Automation & AI Workflows AI & Machine Learning Engineers

Skills

Python SQL PyTorch

Employment Type

Full-time
Company
NEOMI
Nov 2024 – Apr 2025
Role title
AI Engineer

AI Expertise

AI & Machine Learning Engineers AI Product & Strategy

Skills

Python SQL PyTorch TensorFlow Keras Scikit-Learn Computer Vision

Employment Type

Contract

Description of Responsibilities

  • Designed and owned the core AI engine for an AR learning platform
  • Paired handwriting recognition with an LLM-based evaluator
  • Introduced CI/CD pipelines and self-updating analytics dashboards
  • Built assessment analytics with interactive score charts

Key Achievements / KPIs

  • Cut educator debugging time 75% by introducing CI/CD pipelines
  • Served 15,000+ students, LLM-based evaluator reached 92% alignment score
  • Scaled the platform to 20 German schools
Company
MENRV.AI
Apr 2024 – Apr 2025
Role title
Data Scientist

AI Expertise

AI & Machine Learning Engineers Data Science & Analytics

Skills

Python SQL PyTorch NumPy Computer Vision RAG OpenAI API Scikit-Learn

Employment Type

Full-time

Description of Responsibilities

  • Launched a vLLM-powered merchandising suite for Shein and Myntra
  • Developed a financial forecasting engine (BiLSTM and Prophet)
  • Building an AI presentation assistant that auto generates full decks
  • Expanded the product's global reach by shipping a multilingual TTS

Key Achievements / KPIs

  • Virtual try-on at 90% fit accuracy and cutting content creation time 80%
  • Collapsed deck creation from hours to under 5 minutes
  • Cut reporting time from 8 hours to 5 minutes

Education

School
Helwan University
Sep 2020 – May 2024
Degree / Program
Bachelor of Computer Science

Field of Study: Artificial Intelligence, Software Engineering, Computer Science

Areas of Expertise

NLP & Prompt Engineering

Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.

AI & Machine Learning Engineers

Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.

Data Science & Analytics

Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.

Automation & AI Workflows

Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.

Open to

Full-time Part-time Freelance Contract Contract-to-hire

Experience Level

Senior

Current location

United Arab Emirates

Time Zone

Dubai UTC+4

Primary Work Language

English

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