Ahmed El Koutbia is a seasoned data scientist and algorithmic trading developer with expertise in building advanced trading and risk management systems for financial markets. He began his career at the Chicago Board of Options Exchange, where he contributed to the development of screen-based trading systems for futures and options.
Ahmed studied Artificial Intelligence at Stanford University, where he worked on a cutting-edge project in traffic lane detection using computer vision. Over the years, he has expanded his expertise into financial AI, blockchain, and algorithmic trading, combining technical depth with practical market applications.
As the founder and lead instructor at Innosoft, Ahmed has designed and delivered advanced training programs in AI, blockchain, and algorithmic trading. His unique experience in both industry and education has positioned him as a trusted expert in designing and developing automated trading systems for financial markets.