Bio: Meet Joshua Armah, a seasoned computer scientist specializing in Artificial Intelligence, Algorithms, and Information Systems. Over the past decade, Joshua has contributed his expertise to several innovative technology companies in various capacities, including Founder, CTO, Tech Lead, Software Engineer, and Investor. This diverse experience has transformed him into a researcher with a deep understanding of thriving in fast-paced, high-growth environments. Joshua is at the forefront of a new era of "cognitive" products that aim to bridge the gap between information and people using cutting-edge technology. In his second startup venture, he invented a Machine Learning product for matching teaching styles with student behaviors in the education industry. After a successful exit, Joshua applied his skills in deep technology to develop blockchain protocols, cryptographic messaging systems, big data warehouses, and high-performance software products. He is now a globally recognized expert in innovation, with a problem-solving approach that has helped companies in major cities across the United States, including Atlanta, New York City, Silicon Valley, and Los Angeles. Joshua's impressive technical abilities include building systems that can handle Petabytes per day, process billions of data points, and support the concurrency of 10M users per hour. Today, he has evolved from a technology builder and maker to a researcher advancing global-scale solutions that cater to the needs of consumers and businesses alike. My Focus: R&D Management through Applied Research Domain Areas: - Industrial A.I. - Industry 4.0 - Enterprise Software - Customer Experience (CX) Key Talent: Applied Mathematics Contributor in the following areas: -Research & Development - Software Design - Software Applications - Artificial Intelligence - Algorithms - Information Systems - Cybersecurity Subject Matter Expertise: Theoretical Computer Science, Artificial Intelligence, Programming Specializations: Cloud Computing, Cognitive Computing, Autonomic Computing, Scientific Computing, High-Performance Computing Scientific Disciplines: - Computer Science - Cognitive Science - System Science - Data Science - Design Science Leadership Background: - Innovation - Engineering Management - Product Leadership - Impact Investing - Human-Centered Design - Regenerative Design Expert: Julia, Rust, Python Advanced: C++, Go, Typescript Unity/Enterprise: C# Mobile: Swift, Kotlin