Josson Paul Kalapparambath is a trailblazing Software Engineer Technical Leader at Cisco Inc., recognized for his contributions to big data, cloud computing, cybersecurity, and AI-driven architectures. With a career rooted in innovation and strategic leadership, he has been instrumental in driving scalable and secure distributed systems. His impact in the field has earned him the prestigious title of “Most Visionary and Outstanding Leader, 2025“ by CToday Awards.

Career Journey: From Big Data to Leading Innovation at Cisco

Josson’s journey began with foundational work in big data platforms, notably leading the development of the Lube Insights Big Data platform at Saggezza. His expertise played a critical role in shaping the platform’s acquisition by Cisco. At Saggezza, he also led cloud deployments, DevOps strategies, and actively contributed to open-source initiatives. Since joining Cisco, he has spearheaded multiple high-impact projects, including vulnerability assessment frameworks, scalable distributed analytics architectures, and the leadership of DNA Central, a multi-million-dollar product. His work extends across cybersecurity, AI, strategic decision-making, resource optimization, and technical governance—ensuring that innovation remains at the core of complex engineering landscapes.

Leadership Principles: Integrity, Innovation, and Collaboration

Josson attributes his success to a strong foundation of core values that have guided his career and leadership approach. Integrity and accountability ensure he takes full ownership of his work while maintaining transparency. Continuous learning and adaptability keep him at the forefront of technological advancements in a rapidly evolving industry. Collaboration and mentorship are central to his leadership style, fostering high-performing teams and investing in the professional growth of others. His customer-centric approach ensures that every innovation delivers tangible impact. Strategic thinking and resilience empower him to navigate challenges, make informed decisions, and drive sustained success in high-stakes environments.

The Future of Technology: AI, Automation, and Ethical Innovation

Looking ahead, Josson envisions a future driven by AI-driven automation, edge computing, and ethical AI. He predicts that self-healing, scalable systems will reduce downtime and reliance on manual intervention, while edge computing and federated learning will revolutionize real-time AI processing with enhanced data privacy. Explainable and responsible AI will become a cornerstone of transparency and fairness in machine learning applications. Furthermore, AI-augmented software development will accelerate coding, testing, and deployment processes, fostering greater efficiency and resilience in technology solutions.