Fidelis Tabi

Fidelis Tabi is a Quantitative Analyst and Software Engineer with over 16 years of experience in Financial markets, FinTech and Algorithmic trading . His work includes designing, developing, and evaluating automated trading systems and quantitative models, with experience working on trading technology for Hedge funds. He specializes in C++, Python, MQL4, and MQL5, with a particular focus on Financial software, machine learning, and AI-driven trading systems. Fidelis Tabi also has extensive Technology editorial experience, having served as a lead editor for technology publications covering software, artificial intelligence, cyber security, emerging technologies, Space and defense technology. He combines hands-on engineering experience with quantitative analysis and technology research to provide practical, technically informed insights.