Probal Bose

Background

About Probal Bose

With 16 years of experience in systems administration, infrastructure automation, and machine learning, I have honed a diverse skill set that spans across multiple technical domains. Currently, I serve as a Principal Site Reliability Engineer at Mastercard, where I contribute to the Decision Management Program, a leading fraud detection and prevention platform. My focus is on system engineering, production automation, observability, and tooling (DevOps), alongside infrastructure automation in the context of Machine Learning (MLOps). I specialize in Python and Bash scripting, working on production systems and automation to enhance performance and reliability. My role also includes active participation in the architectural modernization of our infrastructure, ensuring scalability and efficiency. Beyond my expertise in systems engineering, I am deeply involved in machine learning, particularly in the realm of time series data modeling. My strong foundation in mathematics, including linear algebra, multivariate calculus, and graph theory, allows me to meaningfully interpret and use of advanced models and solutions. Additionally, my extensive experience in trading, asset pricing, and market modeling gives me a solid understanding of the technical aspects of financial markets. I am always eager to collaborate with teams that value innovation and data-driven insights, and I am passionate about leveraging technology to solve complex, real-world problems in the fields of finance and technology.