Ahmad Abdullah Ahmad Ahmad Abdullah Ahmad

Built and maintained end-to-end MLOps pipelines covering model training, containerized deployment, monitoring, and CI/CD automation. Engineered scalable big data pipelines for dataset ingestion, filtering, and processing to support model training and real-time inference workflows.

Led applied AI/ML initiatives across 4+ club projects focused on real-world model deployment, and partnered with interdisciplinary teams of 10+ members to prototype and ship intelligent systems and live demos.

Architected and deployed enterprise-grade AI/ML pipelines, including fine-tuned deep learning models, agentic systems, and LLM orchestration frameworks, reducing model deployment time by 40%. Delivered 3+ production-grade GenAI applications using LangChain, LangGraph, LangSmith, RAG, and Pinecone vector search.

Completed 3+ end-to-end machine learning and deep learning projects, applying computer vision techniques to real-world business problems.

Delivered 20+ AI/ML solutions across computer vision, deep learning, and data science for international clients over 3 years, with consistent client satisfaction across 10+ engagements. Developed and deployed custom CNN-based models, conversational AI systems, and agentic pipelines from requirements through production.

Pursued a Bachelor of Science in Artificial Intelligence, focusing on machine learning, deep learning, and AI systems.

Completed Intermediate in Computer Science (ICS), building foundational knowledge in computing and programming.