Portfolio of an AI Engineer — 2026

Agentic systems, in production

3+yrs experience 24catalogued works −90%QA effort, automated

Scroll Since 2023 — Beirut · Coventry · New York

Room 01

The Engineer

About

I build production-grade LLM applications — AI agents, RAG pipelines and evaluation frameworks that leave the notebook and survive contact with real users.

Currently reading for an MSc in Applied Artificial Intelligence at the University of Warwick while leading AI engineering at Gabriel & Co. in New York, where I designed GREAT — an AI-powered quality-assurance and analytics platform that replaced manual call review across 34+ agents and three channels, cutting QA effort by roughly 90%.

My work spans the full arc of an AI product: discovery, prompt and agent architecture, MCP servers and tool integration, evaluation and A/B testing, and the dashboards that make it all legible to the business. Before that — data products at CMA CGM serving 100K+ users, and Meta-funded multimodal research on paediatric ECG models.

PracticeAgents · RAG · Evaluation · Automation
CurrentlyAI & LLM Engineer, Gabriel & Co.
StudyingMSc Applied AI, University of Warwick
BasedCoventry, UK — across US & EU time zones

Fig. 01 The Engineer, 2026. Prompt & pipeline on silicon.

Currently

Leading GREAT — an AI quality-assurance & analytics platform — at Gabriel & Co.

MSc Applied Artificial Intelligence · University of Warwick · expected Sept 2026

Room 02

Experience

2023 — Present

01 Jun 2024 — Present New York, US · Remote

AI & LLM Engineer

Gabriel & Co.

−90% QA effort. Led the development and evolution of GREAT, an AI-powered quality-assurance and analytics platform — replacing manual call review with automated scoring across 34+ agents and three channels, lifting rep quality scores from the 80s into the 90s.
+65% evaluation quality. Designed AI evaluation frameworks, scoring methodologies and prompt architectures used to assess customer interactions at scale, through experimentation and structured outputs.
24+ tools integrated. Architected and deployed AI agents, MCP servers, RAG pipelines and workflow automation across internal tools, AWS data sources and dashboards.
Shipped AI solutions spanning recommendations, retailer-brand monitoring, content generation and operational analytics across departments.

LLM Evaluation · Prompt Architecture · MCP · RAG · Node.js · PHP · n8n

02 Jan 2026 — Jun 2026 Remote

Artificial Intelligence Researcher

Chehab Lab

6+ encoders benchmarked. Researched Semantic Slice Selection for 3D medical imaging, evaluating pretrained vision and medical-image encoders — BioMedCLIP, DINOv3, DenseNet, ResNet, MedVAE, RAD-DINO — for representation quality.
Designed experiments using cosine similarity, L2 distance, semantic-preservation and compression metrics to quantify fine-grained representation collapse in medical AI models.

Medical Imaging · Vision Encoders · Representation Learning

03 Jan 2025 — Oct 2025 Marseille, FR · Remote

Data Strategy & Engineering

CMA CGM

+33% targeting accuracy. Enhanced clustering models for customer segmentation and route analysis via experimentation and feature refinement.
100K+ users served. Owned the roadmap and delivery of two core data products supporting competitive intelligence across 100+ shipping routes and financial datasets.
−40% reporting time. Engineered ETL pipelines and automated dashboards covering 50+ KPIs, giving stakeholders real-time performance visibility.

Data Products · Clustering · ETL · KPI Dashboards

04 Jan 2024 — Jan 2025 California, US · Remote

AI & LLM Researcher

Meta-Funded Research Collaboration

Advanced a multimodal ECG model within a 7-researcher Meta-funded project — high-accuracy reconstruction and atrial-fibrillation prediction for paediatric care.
+20% reading accuracy. Improved AI-assisted ECG interpretation via model evaluation, behavioural analysis, multimodal prompt and context experimentation, benchmarking and validation.

Multimodal AI · Healthcare · Benchmarking

05 Nov 2023 — Feb 2024 Baabda, LB

Software Engineering Intern

BMB Group × PepsiCo

−30% package size. Developed a .NET MAUI Blazor app with PepsiCo, adding offline Android SQLite support for stronger reliability and security.

.NET MAUI · Blazor · SQLite · Android

06 Jul 2023 — Oct 2023 Naqqache, LB

AI Engineering Intern

Intalio

97% extraction accuracy. Engineered a Flask OCR API handling 100+ daily requests with YOLOv8, OpenCV and Tesseract — boosting efficiency ~35% via ML pipeline optimisation.

YOLOv8 · OpenCV · Tesseract · Flask

07 Mar 2023 — Jun 2023 Dbayeh, LB

Software Engineering Intern

eMcREY

−40% processing time. Created XML, Java and MySQL applications on Oracle platforms within a 4-person team, automating three core business processes.

Java · MySQL · Oracle · XML

Room 03

Materials & Methods

Technical skills

Agentic
Systems

Retrieval &
Context

Evaluation
& Reliability

AI / LLM: AI Agents·Multi-Agent Systems·Agent Orchestration·RAG·Vector Databases·Semantic Search·Prompt Engineering·Structured Outputs·LLM Evaluation·A/B Prompt Testing·Hallucination Reduction·Tool & Function Calling·Self-Verification·MCP·LangChain·LangGraph·LlamaIndex
ML & Data: Clustering & Segmentation·Model Evaluation·Benchmarking·Experimental Validation·SQL / SQLite·ETL Pipelines
Backend & APIs: Python·Flask·Node.js·PHP·Java·REST APIs·API Integration·n8n
Cloud & Vision: AWS·Azure·PyTorch·YOLOv8·OpenCV·Tesseract OCR·EfficientNet·Grad-CAM·Object Detection
Product: Product Discovery·Stakeholder Management·KPI Definition·Experimentation·Roadmap Prioritisation
Languages: English (full professional)·French (full professional)·Arabic (native)

Room 04

Selected Works

24 Projects

Plate No. 01 — Flagship

LoopGuard

AI / LLM agent reliability framework

A framework-agnostic, zero-dependency Python library that detects and mitigates infinite-loop and tool-calling failures in AI agents — semantic similarity, cycle detection and declarative guardrails for LangChain, LangGraph, CrewAI, Autogen and RAG pipelines.

Medium — Python · semantic similarity · cycle detection · guardrails View repository

Plate No. 02

DermSense

Explainable skin-disease classifier

Medical vision pipeline contrasting an SVM/HOG baseline with a PyTorch EfficientNet-B0 transfer-learning model, with Grad-CAM heatmaps for diagnostic transparency, served through a responsive web interface.

Medium — PyTorch · EfficientNet-B0 · Grad-CAM View repository

Plate No. 03

OULAD Analytics

Student-retention pipeline, CRISP-DM

Retention analysis and success forecasting — XGBoost with RFECV feature selection, classifiers, regressors and unsupervised clustering (DBSCAN, GMM), modularised behind a Python CLI.

Medium — XGBoost · DBSCAN · GMM View repository

Plate No. 04

Commerce Microservices

Containerised FastAPI platform

E-commerce backend split into segregated customer and order services with HAProxy load-balancing, Prometheus scraping and Docker orchestration.

Medium — FastAPI · Docker · HAProxy · Prometheus View repository

Plate No. 05

Network Cell Analyzer

Android telemetry, Flask dashboard

Native Android diagnostics client capturing LTE/5G/Wi-Fi parameters, streaming telemetry through Flask APIs into a live server-side statistics dashboard.

Medium — Android SDK · Flask · SQLite View repository

Plate No. 06

Supermarket Graph Analysis

Market-basket & path-finding engine

Logistics simulator modelling store layouts as weighted graphs — custom quicksort, DFS/BFS routing and association-rule analytics producing product recommendations.

Medium — graph theory · algorithms · unit testing View repository

Complete Catalogue

Room 05

Education

Degrees & leadership

In progress — expected Sept 2026

MSc Applied Artificial Intelligence

University of Warwick

Coventry, United Kingdom

Conferred

B.E. Computer & Communications Engineering

American University of Beirut

Beirut, Lebanon

Leadership & Extracurricular

AIcademyAI lecturer & curriculum developer, AUB2024 — 2025
IEEEVolunteer — activities & professional development2022 — 2023
PythonDojoLead — daily coding sessions & codebase contributions2021 — 2022

Room 06

Inquiries

Contact

For roles, collaborations and conversations
about intelligent systems —

charbeltoumieh1@gmail.com

Write to me

Coventry, UK · Beirut, LB Working across US & EU time zones

GitHub ↗ LinkedIn ↗ Curriculum Vitae ↓