CP Jois, FRAeS

Jois is a polymath who is consistently bridging the worlds of business, engineering, research, and leadership. He possesses depth in a diverse range of knowledge areas, including software systems, aeronautics, aviation, finance, machine learning, astronomy, astrology, and music.

Jois is a digital transformation leader with a stellar career in software systems and business technology. Over his career, Jois has managed software and hardware portfolios of varying sizes. He has led global teams of 3000+ people. Organizational change, innovation, and transformation have been a central theme of his career. He focuses on ‘net-zero’ transformation programs wherein operations optimization funds next-generational change. Jois is an FAA-certificated Instrument-rated Pilot and FAA Part 107 UAS remote pilot. He brings firsthand operational insight into both crewed and uncrewed flight systems. His work has been recognized internationally, including honors from the Royal Aeronautical Society for his engineering and research achievements.

Beyond aviation and learning technology, Jois embodies the spirit of an interdisciplinary thinker. His creative pursuits as a singer, guitarist, and pianist reflect the balance he maintains between analytical rigor and artistic expression, enhancing his ability to bridge ideas across seemingly unrelated domains. As a professor at major universities, Jois has taught computing, aeronautical sciences, and interdisciplinary studies, guiding students to think critically and holistically. His teaching philosophy emphasizes the integration of theory with practice, encouraging learners to connect engineering principles, human factors, and emerging technologies in meaningful ways.

Career

Jois has held multiple C-suite roles, including Chief Information Officer (CIO), Chief Technology Officer (CTO), and Chief Architect. He is currently the Chief Technology Officer for Av8rAero, an aviation training focused company. Jois has a rich history of technological innovation and leadership at global firms, including United Airlines, Unisys, Capgemini, Fulcrum Digital, ACT, Wipro, Keane, Career Education Corporation, and Ruffalo Noel Levitz. His expertise spans Aviation and EdTech with brief tenures in Finance, Banking, and Insurance. Jois has contributed significantly to enterprise architecture, set up innovation centers, and led product and platform engineering. He is recognized for his work in developing AI-enabled engineering, low-code accelerators, microservices-based aggregation models, and cloud-elastic designs. Jois takes a hands-on approach to technology innovation and is at the forefront of AI and Machine Learning. He has led organizations through AI proofs of concept, prototypes, and, more recently, the productionization of AI and ML for commercial use.

Jois is as fluent with setting strategy, articulating to company Boards as he is in discussing code and algorithms with engineers in the field. He balances a pioneering spirit with a passion for excellence and precision in execution – traits that carry over from his pilot training.

He is a highly accomplished aviation professional and academic with a strong educational foundation in software systems and aeronautics, specializing in learning technology, student systems, aviation human factors, aerospace operations, and uncrewed aircraft systems. His multidisciplinary educational background enables him to operate seamlessly across aviation, training, and technology, bringing unique perspectives to aviation’s challenges and opportunities. He has a long and successful career in corporate and consulting roles, including leadership roles in consulting firms and executive positions at global corporations. His multidisciplinary career spans 34 years, with an almost even split between Airline IT, Flight Training Technology, and EdTech. At United Airlines, he led teams that designed, built, deployed, and sustained software and hardware systems supporting global Flight Operations, Airport Operations, Crew Scheduling, and Revenue Management. Beyond United, his career led him to consulting roles at some of the largest consulting firms, including Capgemini, Keane, and Fulcrum, with a primary focus on the Aviation, EdTech, Travel, and Flight Training domains.

Academics

He holds a Bachelor of Science in Engineering (Bombay University), a Master of Science in Computer Science (with distinction)(DePaul University), and a Master of Science in Aeronautics (with distinction) (Embry-Riddle Aeronautical University). He is currently pursuing research in Aviation with a specialization in Human Factors at Embry-Riddle Aeronautical University (ERAU). He has also completed Stanford’s Executive Education program.

AI-enabled Low Code Software Engineering

Jois has worked relentlessly on AI-enabled low-code software engineering, a transformative approach to application development that combines the simplicity of visual programming with the intelligence of artificial intelligence. Low-code platforms enable both developers and non-developers to design, build, and deploy software through intuitive drag-and-drop interfaces, pre-built components, and automated workflows. When enhanced by AI, these platforms can analyze user intent, recommend optimized code structures, and even generate application logic automatically. AI-driven assistants can suggest best practices, identify potential bugs, and improve efficiency by automating repetitive or error-prone tasks. This reduces the barrier to entry for software creation, enabling faster innovation and democratizing software development across industries.

Beyond productivity, Jois has leveraged AI-enabled low-code environments to transform the way teams collaborate and deliver digital solutions. Machine learning models integrated into these platforms can predict system requirements, enhance scalability, and streamline testing through intelligent validation. Natural language processing enables users to describe what they want the system to do, with AI translating those instructions into executable workflows. This evolution bridges the gap between domain experts and software engineers, fostering a more inclusive and adaptive development ecosystem. As organizations increasingly seek agility and cost-effectiveness, AI-driven low-code engineering is emerging as a key enabler of digital transformation, empowering teams to turn ideas into robust, data-driven solutions at unprecedented speed.

Next-Generation Digital Architectures

Beyond boosting code productivity, Jois has redefined organizations with next-generation digital architectures, transforming how organizations build, integrate, and scale their technology ecosystems in an era dominated by data, AI, and cloud computing. Unlike traditional monolithic systems, these architectures are built on modular, distributed, and cloud-native principles, enabling agility, resilience, and real-time responsiveness. At their core, they leverage microservices, containerization, APIs, and event-driven design to allow seamless communication between systems and faster deployment cycles. Jois has integrated edge computing and 5G connectivity, further enhancing their capabilities by processing data closer to the source, reducing latency, and enabling mission-critical applications such as autonomous vehicles, predictive maintenance, and AI-driven decision support in aviation, manufacturing, and healthcare. In his view, these advanced AI systems go beyond pattern recognition to create original content, designs, code, and even scientific hypotheses. Foundation models, such as GPT, and multimodal architectures can process text, images, and data simultaneously, enabling new forms of human–AI collaboration across industries — from automating complex engineering tasks to transforming education, medicine, and creative design.

In his words, “these modern architectures also embody intelligence and adaptability as foundational traits”. By embedding artificial intelligence and machine learning directly into the digital fabric, organizations can create self-optimizing systems that learn from operational data and continuously improve performance. The rise of digital twins, data mesh, and hybrid cloud infrastructures extends the reach of next-gen architectures beyond enterprise boundaries, creating interconnected ecosystems of systems that collaborate securely. Cybersecurity, too, evolves into a proactive and adaptive layer through zero-trust frameworks and AI-based threat detection. Collectively, these advancements enable organizations not only to respond more quickly to market changes but also to anticipate and shape them — making next-generation digital architectures the backbone of sustainable digital transformation.

Technology Programs and Projects

Jois holds a Project Management Professional (PMP) certification from the Project Management Institute (PMI) and has maintained it current for over twenty years. This credential has enabled him to work on large, complex projects, including learning management systems, course content production systems, student systems modernization, grading algorithms, student success components, flight operations redesign, airport reengineering, and passenger operations optimization. Jois has led large-scale, multi-year transformation programs, resulting in innovative change in targeted areas.

Flight Training Technology Contributions

His work on flight training solutions and advanced technology-based flight training devices is particularly noteworthy. From a very young age, he has worked on developing new designs for flight simulators. This interest culminated in using the power of cluster computing to engineer ultra-realistic, scale, fixed-base flight simulator designs over 24 years and 19000 hours of his non-work time. Leveraging this knowledge, he helps flight schools deploy simulation technology to reduce the time and cost of flight training by over 50%.

Aviation Credentials

Jois is a distinguished aviator, a Fellow of the Royal Aeronautical Society.

In addition to his academic credentials, Jois holds a Federal Aviation Administration (FAA) Pilot License with Instrument Rating (PPL/SEL, IR) and a FAA Part 107 Remote Pilot (RP) Certificate for Unmanned Aircraft Systems (UAS), evidencing both manned and unmanned flight qualifications. He has also completed the Trusted Operator Program (TOP) Certification Levels 1, 2, and 3, affirming his advanced operational competency and adherence to industry standards in UAS operations. These credentials reinforce his expertise in the practical, regulatory, and technical aspects of aviation systems and safety. He is on the verge of taking his Advanced Ground Instructor (AGI) exam and training to get his commercial, multi-engine, and high-performance ratings. He intends to have his Flight Instructor certification (CFI) through an accelerated program by the end of 2025.

Education Technology Contributions

Jois’s work in Education Technology bridges innovation, pedagogy, and real-world application. Drawing on his deep background in computing, systems engineering, and aviation, he has focused on designing and implementing technology-enabled learning environments that enhance student engagement and mastery. Over two decades ago, he led pioneering efforts to introduce and implement adaptive learning into US-based universities. His initiatives have included integrating simulation-based learning, data-driven assessment systems, and AI-powered adaptive learning platforms that personalize education for diverse learners. Jois has also contributed to the development of virtual and blended learning ecosystems that bring experiential learning into online and hybrid classrooms, particularly in technical and aviation domains. His work reflects a commitment to evolving education beyond traditional boundaries—transforming how learners interact with complex subjects, apply critical thinking, and prepare for future industries shaped by digital transformation.

Research Focus

His current research interests include the applications of Machine Learning to various aspects of aerospace and aviation. His background in combinatorial computer science and aviation enables him to build practical models that accurately reflect the real-world nuances of aviation. His research advocates a shift from the century-old practice of observation-based pilot assessments to machine-sensed ML-based pilot proficiency measurement.

Over the past decade, Jois has focused on Machine Learning (ML) and AI-oriented use cases in aviation. Grounded in theory, Jois dedicates his time to the practical implementation of ML algorithms, occasionally delving deep into their engineering. He has built several AI models that can predict flying proficiency degradation, quantify correlations between mid-air incidents and the roll-out of ADS-B mandates, identify significant pilot factors that influence flight safety, and models that utilize astronomical data and astrology principles to predict life events.

Academic Contributions

His teaching background encompasses topics in aeronautics, airspace, aviation project management, unmanned aircraft systems (UAS), programmatic applications of UAS, computer science, software engineering for mission-critical applications, and technology consulting. His teaching philosophy is centered around developing human potential.

His focus topics include Aeronautics, Human Factors, Aerospace Project Management, and Simulator Design; Flight Operations Technology, Airport Operations Technology; Uncrewed Aircraft Systems (UAS) Design, UAS Operations, and Safety.

He taught for a decade at the College of Computing and Digital Media at DePaul University in Chicago. He currently teaches aeronautics at Embry-Riddle Aeronautical University‘s College of Aviation. More recently, he has begun teaching aerospace topics at the Department of Mechanical and Aerospace Engineering at the University of South Florida in its newly launched Aerospace Engineering program. He also heads up USF’s Aerospace Lab.

Classes taught include Software Requirements Engineering, Software Quality Assurance, AGILE Methods, Machine Learning and Models, The Air Transportation System, Project Management in Aviation/Aerospace, Remote Pilot Operations, Flight Theory, Machine Learning in Aviation, Mapping Apps and Data Collection, Special Topics in Aeronautical Science, and Unmanned Aircraft Systems.

Entrepreneur

Jois is the Founder of Av8rAero, a flight simulation venture focused on pilot proficiency dataset generation, training datasets, and applied machine learning.

Av8rAero represents the convergence of deep technology expertise gained over 30 years across multiple industry domains, particularly in Aviation, Higher Education, Transportation, and Travel. The intersection of Aviation and Higher Education brought him to the fascinating realm of Flight Training and Flight Simulator technology. A passion for aviation led to the establishment of the Flight Simulation Center, which offers flight simulator services to both aviators and non-aviators. Av8rAero brings expertise in most aspects of airline operations technology, including real-time mission-critical Flight Operations, Airport Operations, Crew Pairing, and Flight Training. In Higher Education, Av8rAero applies flight simulators to help with STEM learning.

Recent Publications

He frequently authors work, and his recent publications can be found here. Other media such podcasts, videos, presentations and fireside chats can be found in the media section.

Astronomy and Astrology Work

Jois’s work in astronomy and astrology reflects a unique blend of scientific inquiry and classical wisdom. With a foundation in celestial mechanics and observational astronomy, he brings a rigorous analytical approach to understanding planetary movements and cosmic phenomena. In parallel, his exploration of Vedic and KP astrology integrates computational precision with traditional interpretive frameworks, seeking to decode the intricate relationships between planetary dynamics and human experience. Working diligently over the past decade, Jois has coded a combination of heuristic and AI-enabled astrological insights. His astrology platform, Zodex.AI, is available online. Through research, software modeling, and writing, Jois aims to bridge the gap between astronomical science and astrological insight, demonstrating how ancient knowledge systems can coexist with modern analytical methods. His work continues to inspire interdisciplinary dialogue between science, philosophy, and spirituality.

Memberships