AI Engineer passionate about building intelligent systems that actually work in production - not just in notebooks.
I'm a CS graduate from Lebanese American University (LAU) with a minor in Data Analytics. Over the past year I've gone deep into the full AI stack: training computer vision models, building RAG pipelines with hybrid search and re-ranking, designing multi-agent systems with LangGraph, and shipping autonomous AI automation workflows with n8n and GPT-4o.
I've built 18 projects end-to-end - from a YOLO detection pipeline to a production RAG system with guardrails and monitoring, to a LangGraph agent that breaks down research questions and fact-checks its own answers.
I care about the details that matter in production: evaluation frameworks, hallucination mitigation, latency, and deployment. Not just accuracy on a test set.
Currently looking for AI Engineer or ML Engineer roles where I can keep building things that matter.
Open to any opportunity on-site, hybrid, remote, or relocation.
🌍 Trilingual: English · French · Arabic
Languages
ML & Deep Learning
LLMs & Agents
AI Automation
MLOps & Deployment
Frontend & Backend
12 projects from algorithmic fundamentals to production multi-agent AI systems.
| Project | Description | Stack |
|---|---|---|
| 🔬 Multi-Agent Research Assistant | 5-agent LangGraph system: Supervisor → Search → Reader → Fact Checker → Synthesizer | LangGraph · Claude · Tavily · FastAPI |
| 📊 RAG Evaluation Framework | LLM-as-Judge scoring faithfulness, hallucination, relevance — with pipeline comparison dashboard | Claude · Streamlit · Plotly |
| 🤖 RAG QA → Production | Full RAG: hybrid retrieval + cross-encoder re-ranking + guardrails + FastAPI + Docker | Claude API · FAISS · FastAPI · Docker |
| 🔎 Hybrid Search Engine | BM25 → SBERT embeddings → RRF fusion. 78% P@5 vs 62% BM25-only | FAISS · BM25 · Sentence-BERT |
| Project | Description | Stack |
|---|---|---|
| 🔍 YOLO Object Detection | End-to-end detection pipeline with fine-tuning, mAP evaluation, FastAPI serving | YOLOv8 · OpenCV · FastAPI |
| 🧑 Face ID & Segmentation | Siamese net + Triplet Loss for face verification · U-Net for pixel segmentation | TensorFlow · Custom Loss |
| 👗 Clothing Classifier CNN | Dense (88%) → Custom CNN (93%) → MobileNetV2 Transfer Learning (95%) | TensorFlow · MobileNetV2 |
| Project | Description | Stack |
|---|---|---|
| 😄🎵 Emojify + RNN Music | Word embeddings for sentiment + LSTM melody generator with temperature sampling | TensorFlow · LSTM |
| 📧 Spam Detector | TF-IDF + 4-model comparison · 98.9% accuracy with Linear SVM | scikit-learn · NLP |
| Project | Description | Stack |
|---|---|---|
| 🚢 Titanic Classifier | 6-model comparison + feature engineering + SHAP explainability | XGBoost · SHAP · scikit-learn |
| 🎨 Color Palette Extractor | K-Means + Median-Cut color extraction with live Streamlit demo | scikit-learn · Pillow |
| 🎮 Tic-Tac-Toe AI | Unbeatable agent via Minimax + Alpha-Beta Pruning (~4× speedup) | Pure Python |
6 autonomous AI agents - real integrations, zero manual work.
| Project | Description | Stack |
|---|---|---|
| 🕵️ Competitive Intelligence Agent | Weekly: scrapes competitors → AI analysis → executive email report auto-sent | n8n · GPT-4o · NewsAPI |
| 🧑💼 CV Screener & HR Automation | Gmail monitors applications → GPT-4o scores CVs → auto-sends interview/rejection emails | n8n · GPT-4o · Gmail |
| ♻️ Content Repurposing Pipeline | Blog URL → LinkedIn post + Twitter thread + Newsletter, generated simultaneously | n8n · GPT-4o · Webhook |
| 🎯 AI Lead Scoring | Reads scraped leads → scores 0-100 → routes Hot/Warm/Medium/Cold campaigns | n8n · GPT-4 · Sheets |
| 📧 Email Classifier | Gmail → GPT-4 classifies Refund/Inquiry → logs structured data to Google Sheets | n8n · GPT-4 · Gmail |
| 🚀 LinkedIn Caption Generator | Topic idea → AI caption + DALL-E image → auto-published to LinkedIn | n8n · GPT-4o · DALL-E |
Quality Assurance Intern — Wave Mark (Cardinal Health) · May–Jul 2025
Manual & regression testing · JIRA bug tracking · TestRail · Agile sprints
Cyber Security Intern — Code Alpha · May–Aug 2024
Vulnerability assessments · Penetration testing · Security protocol development
DevOps Engineer Bootcamp — Forward Mena & SimpliLearn · Jun–Sep 2024
Docker · Kubernetes · Ansible · Terraform · CI/CD pipelines
Lebanese American University (LAU) — B.S. Computer Science, Minor in Data Analytics
| Certification | Issuer | Year |
|---|---|---|
| 🤖 AI Engineering Major | YouBee.ai | 2025 |
| ⚡ AI Automation Expert Program | Sinan Abou Hamdan | 2025 |
| ☁️ Docker with IBM | Simplilearn | 2024 |
| ☸️ Kubernetes with IBM | Simplilearn | 2024 |
| 📊 Google Analytics | 2024 | |
| 🔒 Foundations of Cybersecurity | 2023 | |
| 🎨 UX Design Foundations | 2023 | |
| 🛡️ Cybersecurity Workshop | LAU | 2023 |
Open to any opportunity on-site, hybrid, remote, or relocation.
📧 rihamtarabay.rt@gmail.com 💼 LinkedIn 📍 Beirut, Lebanon