Hello, I'm
I help businesses turn their data into intelligent AI systems using Generative AI, RAG pipelines, and AI agents. Building production-ready AI applications that deliver real business value.
I'm an AI Engineer and Freelancer specializing in turning AI ideas into reliable, scalable systems that deliver real business value. Many AI projects fail because they remain prototypes — I specialize in making them production-ready.
My expertise spans Generative AI, RAG pipelines, and AI Agents. I build systems that automate workflows, power knowledge systems, and integrate seamlessly into existing products.
Design and deploy AI systems powered by LLMs — chatbots, AI assistants, and internal knowledge tools with RAG pipelines for company data.
Autonomous AI agents for complex tasks: research, data processing, and workflow orchestration using LangChain and LangGraph.
Automate business processes using n8n and custom systems, connecting LLMs with external APIs, databases, and internal tools.
Scalable data collection pipelines using Python, Scrapy, Playwright, and Selenium to power AI systems and analytics.
Improve AI reliability through prompt engineering, evaluation frameworks, fine-tuning, and structured output design.
Robust backend architectures with Python and FastAPI for seamless AI integration into web apps, SaaS platforms, and internal systems.
Leading AI initiatives and management for innovative healthcare solutions.
Lead the design and development of AI-driven solutions with focus on Generative AI and LLMs. Managing cross-functional teams through full project lifecycle.
Contributed to innovative projects in pharmaceutical industry and pharmacovigilance using cutting-edge Generative AI and ML techniques.
Developed AWS concierge bot using RAG on GPT-4. Created APIs with Flask and deployed on AWS EC2.
AI-powered education platform where students interact with a virtual tutor via chat or voice. Uses RAG with Qdrant vector database, agentic workflow via LangGraph, and real-time capabilities with LiveKit. Generates visual illustrations for enhanced understanding.
AI agent that automates social media content creation by learning user's writing style. Crawls profiles, analyzes tone and structure, generates personalized post ideas, and produces platform-optimized content.
RAG-based prototype for pharmaceutical industry to determine if a drug's mechanism of action could cause specific adverse reactions.
Backend for an Arabic chatbot capable of understanding and interpreting dreams using RAG architecture with cultural context.
Intelligent multi-agent system for dynamic tool selection. Handles images with OpenAI Vision and documents with LlamaParse for multimodal data processing.
RAG-powered chatbot to guide users through AWS services and resources. Built with GPT-4, Flask APIs, deployed on EC2.
Emotion detection system using CNN to classify facial expressions with real-time OpenCV integration.
CNN-based AI model for fruit and vegetable quality assessment achieving 97% accuracy, deployed on web.
Interested in working together? Let's discuss your AI project.