Mazen Alowaibdi
AI Engineer · Machine Learning Engineer · Automation Engineer · AI Specialist
Jeddah, Saudi Arabia | Mazenalowaibdi@gmail.com | +966 53 753 2004 | github.com/Owners90 | alowaibdi.me
Open to: Full-time · Contract · Remote · On-site (Saudi Arabia)
Professional Summary

AI Engineer with a BSc in Artificial Intelligence (University of Jeddah, 2025) and a license from the Saudi Council of Engineers. Designs and deploys production AI systems — Telegram bot ecosystems, multi-agent workflows on the Claude API, n8n automation pipelines, and deep learning models trained on 10,000+ medical images. Combines hands-on Python engineering with applied machine learning to ship intelligent systems that run live in production, integrate with real business operations, and deliver measurable operational impact.

Professional Experience
Artificial Intelligence SpecialistMr Chart Training Center
2025 — Present
  • Architected and deployed a production-grade Telegram Bot ecosystem (Python + SQL) supporting multi-step workflows, persistent user state, and database-backed business logic — running live and handling daily operations for real users.
  • Engineered end-to-end n8n automation pipelines that eliminated hours of repetitive manual work — integrating CRMs, messaging platforms, and external APIs into zero-touch sequences with real-time data processing and webhook-driven triggers.
  • Integrated Claude API and multi-agent workflows into production systems — implementing prompt architecture, tool use, and reasoning chains that power intelligent decision support and automated content processing for live business operations.
  • Designed modular system architecture with clean separation of concerns across automation, AI, and bot subsystems — enabling rapid feature delivery, maintainability, and reliable concurrent execution at production scale.
Technical Skills
AI & Machine Learning: Deep Learning, CNNs, Computer Vision, NLP, Transfer Learning, Medical Image Analysis, Statistical Modeling, Model Evaluation, Optimization Algorithms, Scikit-learn, PyTorch, TensorFlow
LLMs & AI Agents: Claude API, Anthropic SDK, Large Language Models (LLMs), Generative AI, AI Agents, Agentic AI, Multi-Agent Systems, Prompt Engineering, MCP Servers, Tool Use, Reasoning Chains, RAG, LLM Integration
Bot Engineering: Telegram Bot API, Conversational Workflows, State Management, Database-Backed Logic, User Onboarding, Webhook Handlers, Long-Polling, Inline Keyboards
Automation & Workflow: n8n, Workflow Architecture, Process Automation, RESTful APIs, API Integration, Webhooks, Cron Scheduling, Data Transformation, ETL Pipelines, System Orchestration
Programming & Data: Python (advanced), SQL, JavaScript, HTML, CSS, Pandas, NumPy, Jupyter, Data Visualization, Backtesting, Financial Data APIs, Stock Analysis
DevOps & Tooling: Git, GitHub, Docker, Linux, VS Code, Claude Code, Server Management, Deployment, Production Monitoring, Version Control
Key Projects
Telegram Bot Ecosystem (Production)
Production bot system supporting multi-step business workflows, persistent state, and database-backed logic — handling live user interactions for daily operations.
Python · Telegram Bot API · SQL · Workflow Automation
U.S. Stock Analysis Platform
Full-stack financial analysis web platform with real-time market data, AI-powered screening, technical indicators, and advanced charting tools built for serious traders.
Python · Financial Data APIs · AI Analysis · Data Visualization
n8n Automation Systems
Multi-workflow automation suite connecting CRM, messaging, and data systems via webhooks and API integrations — zero manual intervention, continuous uptime since deployment.
n8n · REST APIs · Webhooks · Workflow Architecture
Claude & AI Agent Engineering
Production AI agent workflows on Claude API — prompt architecture, multi-agent orchestration, MCP server integration, and reasoning chains deployed in live systems.
Claude API · Claude Code · Agent Orchestration · Prompt Engineering
CNN Colon Cancer Detection
Trained a deep convolutional neural network on 10,000+ histology images for binary classification of colon cancer — optimized for both accuracy and inference speed.
Python · TensorFlow · CNNs · Medical Imaging
AI Logistics Route Optimization
Graduation project — applied machine learning to the Traveling Salesman Problem to optimize delivery routing, measurably reducing route distance and travel time.
Python · Machine Learning · Optimization · Route Planning
Education
Bachelor of Science in Artificial Intelligence
University of Jeddah — College of Computer Science & Engineering
2025
Licensed by the Saudi Council of Engineers — Accredited AI Specialist.
Certifications
Cybersecurity Bootcamp · CompTIA A+ (IT Fundamentals, Hardware, Networking, Operating Systems) · Security+ (Network & Information Security)
Languages
Arabic — Native  ·  English — Professional Working Proficiency