AlignSys is organized by researchers and practitioners working at the intersection of AI alignment, systems, and real-world deployment.
Mary J. is a Research Engineer at Amrita University, working on AutoML, meta-learning, and AI alignment. Her research focuses on building adaptive learning systems that generalize across tasks while remaining stable, interpretable, and aligned with human intent.
She is particularly interested in the interaction between automated learning pipelines, higher-order optimization, and feedback-driven alignment mechanisms in real-world AI systems.
Madhava Gaikwad is an Microsoft senior systems engineer and independent researcher working on AI alignment, distributed systems, reliability engineering, and privacy-preserving telemetry.
His work focuses on alignment as a systems property, feedback-driven control loops, post-deployment alignment monitoring, and the interaction between alignment guarantees and operational constraints such as latency, privacy, and cost in large-scale production environments.
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Individual committee member email addresses are not publicly listed.