AI Solution Engineer
Building intelligent tools that solve real business problems through LLM integration, prompt engineering, and Python development
Specialized in: Customer-facing AI solutions • Industrial automation • Knowledge management systems • Cost-saving implementations
About
I'm an AI Solution Engineer who bridges the gap between complex LLM capabilities and practical business applications. With a PhD-level research background and hands-on experience building production AI systems, I specialize in creating user-friendly tools that solve real problems without requiring users to become AI experts.
My approach focuses on understanding customer pain points first, then engineering precise AI solutions that feel natural to use. Whether it's a troubleshooting assistant that prevents costly facility shutdowns or a knowledge management system that reduces support tickets by 90%, I build tools that deliver measurable business impact.
Technical Expertise
LLM Integration & Optimization
Advanced prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation) implementations
Python Development & Frameworks
Rapid prototyping and deployment of AI-powered applications with modern Python frameworks
Customer-Centric Solution Design
Translating complex technical requirements into intuitive user experiences that drive adoption
Cloud & DevOps
Scalable deployment and monitoring of AI solutions in production environments
AI Solutions Portfolio
Industrial Troubleshooting Assistant
High Business ImpactBuilt an AI-powered troubleshooting assistant for post and parcel sorting facilities that prevents costly shutdowns due to bottleneck failures. The system uses LLM-powered diagnostics combined with real-time facility data.
- Integrated with facility monitoring systems via APIs
- Custom prompt engineering for technical fault diagnosis
- Real-time alert system with suggested solutions
- Reduced facility downtime by 60% in pilot implementation
- Streamlit dashboard for operations teams
Knowledge Management AI System
90% Ticket ReductionDesigned and implemented an AI-powered knowledge retrieval system that integrates with existing PDF documentation libraries to provide instant, accurate responses to technical support queries.
- RAG pipeline with vector embeddings for document search
- Custom prompt templates for technical accuracy
- Integration with existing support ticketing system
- Reduced support tickets by 90% for covered topics
- Continuous learning from user feedback
Developer-Friendly API Assistant
40% Faster OnboardingCreated an intelligent API documentation assistant that helps developers understand and implement e-commerce platform APIs through interactive examples and contextual guidance.
- Dynamic code example generation based on user context
- Interactive API testing environment
- Contextual error explanation and debugging help
- Reduced developer onboarding time by 40%
- Integration with OpenAPI 3.1 specifications
Multilingual Processing Pipeline
Open SourceDeveloped sophisticated Arabic language processing tools that demonstrate deep understanding of computational linguistics and complex text processing challenges.
- Rule-based morphological analysis engine
- Custom tokenization for Arabic text
- Machine learning classification algorithms
- Performance optimization for large-scale processing
- Comprehensive testing and validation framework
Let's Build Something
GitHub
github.com/omarzdLocation
Amsterdam, Netherlands