MLDS speaker · 2026

Chaitali Deb Purkayastha

Associate DirectorNovartis

About Chaitali Deb Purkayastha

Chaitali Deb Purkayastha is an Associate Director at Novartis, where she leads global Generative AI product initiatives, focusing on AI governance, product strategy, and end-to-end GenAI solution architecture. She drives the adoption of advanced AI technologies to build scalable, customer-centric solutions across global teams. Previously at MetricStream, Chaitali led the Compliance Management product suite and spearheaded the creation of the first Generative AI–powered GRC portal. She played a pivotal role in implementing AI governance and risk frameworks, managing a global BFSI customer base, and driving initiatives that reduced churn while enhancing product impact. At Mercedes-Benz Research & Development India, she served as a Senior Consultant and AI Architect, designing a game-changing AI platform for model and data sharing, developing deep learning–based Computer Vision and NLP solutions, and building an end-to-end vehicle-sharing platform. She also contributed to decentralized data marketplaces, AR/VR solutions, and multicloud containerized applications, translating innovative concepts into production-ready products. Earlier in her career, Chaitali led mobile and web application development at Subex and Photon Infotech, delivering solutions for global clients including Royal Bank of Canada, Macy’s, and MuSigma. With deep expertise in AI, SaaS products, and product strategy, Chaitali combines technical vision with execution excellence to transform ideas into impactful, enterprise-grade solutions.

1 edition on the MLDS stage · 1 session on record

Chaitali Deb Purkayastha, Associate Director, Novartis

Talks at MLDS

Sessions from the MLDS agendas, newest first.

  1. MLDS 2026

    Bengaluru
    26–27 Mar 2026

    • Mar 27, 2026 · 14:50–15:10 · Hall 3 · Bengaluru

      Tech Talks

      The AI Flight Recorder: Engineering Auditability into Agentic Workflows

      The Problem: A brief case study highlighting the consequences of non-reproducibility in AI decisions. The Challenges: Real-world complexities of maintaining transparency in multi-agentic systems. The Technical Roadmap: Methods and tools to ensure GenAI systems are fully auditable. The Decision Rationale: A deep dive into capturing decision snapshots, logging execution paths, and environment versioning, supported by a technical architecture diagram. Implementation Strategies: Practical takeaways including structured logging, deterministic replays using fixed seeds, shadow-mode testing, and immutable audit trails.

    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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