Intelligent automationfor real business data.
I design AI products that read documents, retrieve knowledge, automate operations, and answer users with dependable production workflows.
Production AI for document-heavy workflows
AI/ML Engineer with 4+ years of experience building production AI systems across LLM applications, RAG pipelines, OCR automation, and predictive modeling. Experienced in multi-agent insurance solutions using Python, FastAPI, Qdrant, Docker, and OpenAI/Gemini APIs.
LLM Applications
Multi-agent platforms, prompt engineering, model fine-tuning, embeddings, and AI quality guardrails.
AI Backends
Modular FastAPI and Docker services for conversational automation, validation, and deployment.
OCR & Data Pipelines
Arabic/English extraction from IDs, licenses, registrations, VINs, reports, PDFs, and DOCX files.
RAG & AI Agents
Retrieval pipelines with Qdrant, confidence thresholds, audit guardrails, and chatbot automation.
Technical Skills
- Languages:Python, JavaScript, C#
- AI & ML:LLMs, RAG, Agentic AI, Prompt Engineering, Model Fine-tuning, Embeddings, NLP, Computer Vision, OCR, XGBoost, Random Forest, scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain
- Backend & APIs:FastAPI, .NET, REST APIs, Microservices, WebSockets, Redis, Firebase, JWT Authentication
- MLOps & Data:Docker, Docker Compose, Git, GitHub Actions, CI/CD, Model Deployment, Model Monitoring, ETL Pipelines, SQL Server, Linux
- Cloud:AWS Lambda, S3, Bedrock, Azure, Google Cloud Run, Google Functions, Firebase, Firestore, VMs
- Methodologies:Agile, Scrum, Test-Driven Development (TDD)
Work Experience & Education
Current and previous roles, followed by academic background in artificial intelligence and information systems.
AI Engineer & Product Lead
eDATA Information Technology
Dubai, UAE
Jan 2023 - Present
- Architected a production-grade multi-agent LLM platform using Python, FastAPI, Qdrant, OpenAI/Gemini APIs, and Docker for insurance workflows across FAQ retrieval, auditing, validation, and conversational automation.
- Designed and implemented a WhatsApp AI assistant that automated policy issuance using OCR, metadata validation, semantic retrieval, and LLM-powered reasoning.
- Built Python-based Google Vision OCR pipelines for images, PDFs, and DOCX files, automating Arabic/English extraction from IDs, licenses, vehicle registrations, VINs, and accident reports.
- Implemented RAG pipelines with OpenAI embeddings, Qdrant vector search, confidence-threshold fallbacks, and audit guardrails to improve response reliability and reduce hallucination risk.
- Developed an agentic RPA solution using Python, FastAPI, Playwright, OpenAI/Gemini APIs, and SQLite to automate internal workflows and reduce manual processing effort.
- Built a real-time AI Voice & Avatar Agent POC using LiveKit and ElevenLabs, designing the full STT -> LLM -> TTS pipeline.
- Designed modular AI backends with FastAPI and Docker and implemented GitHub Actions CI/CD for reliable deployment workflows.
- Built vehicle valuation and VIN decoding models using ensemble ML methods, including XGBoost and Random Forest, to support underwriting, quoting, and vehicle metadata validation.
- Built scalable ETL pipelines with .NET and SQL Server, including views, triggers, and indexes, to support data processing and platform reliability.
Software Engineer
SARL Developily
Oran, Algeria
Jan 2022 - Nov 2022
- Led a 3-person team to deliver a React and Node.js web application that automated business operations for client workflows.
- Built a C# RFID desktop application (Pacha Alert) to track 30K+ hotel inventory items.
- Developed 20+ branded AR filters with Spark AR for client social media campaigns.
- Delivered AR, web, and desktop solutions across client projects, collaborating with product and design teams in an Agile workflow.
AI, ML & Data Credentials
Certifications listed in the current CV across production ML, agentic AI, supervised learning, data science, and deep learning.
Machine Learning in Production
DeepLearning.AI
Feb 2026
Professional certification focused on deploying and operating machine learning systems in production.
Agentic AI
DeepLearning.AI
Nov 2025
Certification covering agentic AI concepts and practical applications in modern AI systems.
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
Nov 2025
Certification in supervised machine learning with a focus on regression and classification techniques.
Data Science, Data Analytics & Machine Learning Professional
LISRC
Dec 2023
Professional certification in data science, data analytics, and machine learning.
Applications of AI for Anomaly Detection
NVIDIA
Oct 2022
Certification demonstrating competence in applying AI techniques for anomaly detection.
Fundamentals of Deep Learning
NVIDIA
Dec 2021
Professional certification demonstrating competence in deep learning fundamentals and neural networks.