Ahmad I.

I am an experienced AI Engineer with over six years of professional expertise, working with companies worldwide to develop high-quality products and drive innovation. Throughout my career, I have taken on leadership roles, guiding teams in delivering impactful solutions. My core expertise lies in Large Language Models (LLMs), where I have extensive experience in fine-tuning, running open-source LLMs, building Retrieval-Augmented Generation (RAG) pipelines, designing knowledge graphs, and implementing vector databases. I have successfully developed over 50 projects utilizing LLM applications, including advanced voice-enabled chatbot systems that deliver seamless conversational experiences. In addition to my LLM expertise, my academic background includes a Master’s research thesis on Diffusion Models for context-based image generation. This has given me a deep understanding of generative computer vision models and their applications, allowing me to work on cutting-edge solutions in the domain of generative AI. My research and hands-on experience enable me to tackle complex challenges in both AI and computer vision. I am also an AWS Certified Cloud Engineer with significant experience in deployment and cloud management, ensuring scalable and efficient solutions for businesses. Over the course of my career, I have developed more than 200 projects and collaborated with over 20 companies, gaining expertise across a wide range of technologies, including but not limited to Java, C++, SQL, Theano, Go, and R. This diverse experience has equipped me with the versatility and technical depth to deliver exceptional results on projects of any scale and complexity.