MLDS speaker · 2026

Sreejith K Rajendran

AVP-EngineeringReserve Bank Innovation Hub (RBIH)

About Sreejith K Rajendran

Sreejith K R is a passionate technology leader and the author of the book Super App Part 1: The Fundamentals. With over a decade of experience in software development, he has worked with multiple organizations and industry veterans, gaining deep insights into modern engineering practices. His experience across diverse projects and organizations has helped shape a strong technical perspective and a thoughtful approach to solving complex problems in today’s evolving technology landscape. Sreejith believes in continuous learning and strives to achieve intellectual maturity in software engineering. He actively advocates collaborative learning among developers, believing that shared knowledge and collective intelligence are key to building better systems and staying ahead in an era of intelligent machines.

1 edition on the MLDS stage · 1 session on record

Sreejith K Rajendran, AVP-Engineering, Reserve Bank Innovation Hub (RBIH)

Talks at MLDS

Sessions from the MLDS agendas, newest first.

  1. MLDS 2026

    Bengaluru
    26–27 Mar 2026

    • Mar 27, 2026 · 14:10–14:30 · Hall 1 · Bengaluru

      Keynotes / Tech Talks

      Nurturing your AI Disposition

      AI adoption in software organisations is not failing only because the capability of models are insufficient. One of the reasons is the teams using them have not developed the mindset, habits, or knowledge structures needed to unlock its full potential. This talk makes the case that the primary bottleneck is disposition— the posture with which a practitioner approaches AI. The talk is grounded in a production-tested framework and inspired from the collective intelligence of individuals who have applied techniques to achieve 100% AI-augmented code generation on live projects for over a year. The talk introduces a blueprint in which domain experts encode structured knowledge that is leveraged by AI to generate code that enables the organisation to scale and grow at a much faster pace. The audience after the session will leave with understanding of why AI seems challenging to adopt in domain-specific contexts, what structured knowledge encoding looks like in practice, and one actionable step they can take in their own team the following week.

    MLDS 2026 agenda MLDS 2026 talk recordings on YouTube (opens in a new tab)

MLDS 2027Feb 25–26 / Mar 4–5Early bird till 15 Dec

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