Ziad S.

AI/ML Engineer | Agentic AI Systems, RAG Pipelines & LLM Automation Transform your business with cutting-edge AI solutions. Proven track record of delivering ML models and automation systems that drive real results. What I Specialize In: - Agentic AI Systems & Web Automation: Autonomous web research pipelines, Pydantic-based data parsing agents, and multi-agent workflows using LangGraph and OpenAI/Gemini. - Advanced RAG & Vector Search: Custom RAG architectures featuring semantic chunking, multimodal summarization (DeepSeek/HuggingFace), and vector storage via Qdrant & ChromaDB. - Hallucination Mitigation & Output Fidelity: Implementing semantic similarity decay functions, embedding-based deduplication, and multi-layer filtration to guarantee output reliability. - Computer Vision & Custom ML: Custom YOLOv8 object detection, audio/voice feature extraction, and traditional ML models (SVM, Random Forests, Stacking Ensembles) using PyTorch, TensorFlow, and Scikit-learn. - Production Deployment & Big Data: Asynchronous FastAPI backends, Docker containerization, AWS integrations, and big data engineering with Apache Spark & Delta Lake. Technical Expertise: - Languages: Python, Java, C++, SQL - ML/AI Frameworks: LangGraph, Pydantic AI, OpenAI API, Gemini API, Hugging Face, PyTorch, TensorFlow - Big Data: Apache Spark for large-scale data processing - Databases & Vector Storage: Qdrant, ChromaDB, PostgreSQL, MongoDB, MySQL - Frontend Integration: Seamless AI-powered user interfaces Proven Results: With completed projects across various industries, I've helped businesses: - Increase efficiency through intelligent automation - Make data-driven decisions with predictive models - Scale operations with custom AI agents - Optimize processes using machine learning insights Ready to Start: Whether you need a sophisticated ML model, an intelligent automation system, or a complete AI solution, I deliver production-ready code that solves real business problems. **Let's discuss your AI vision and turn it into reality.**