GenAI Research & Agent Systems Advisor

Sanjay Rakshit

Advises R&D teams on architectures, retrieval, safety, and evaluation for reproducible, audit-ready AI systems.

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About Expert

Sanjay Rakshit is a GenAI research and agent systems advisor who partners with engineering and research leaders to design reproducible, compliant AI architectures. He focuses on agent orchestration, retrieval quality, and safety-by-design, helping teams implement evaluation harnesses and governance that stand up to audit and scale in production. Sanjay bridges cutting-edge research with enterprise constraints to deliver trustworthy performance.

Sanjay aligns programs with the NIST AI RMF and EU AI Act, guiding teams on data/process documentation, measurement plans, and red-team protocols that improve reliability and mitigate risk. His work emphasizes transparent telemetry, benchmarked outcomes, and rigorous experimentation for continuous improvement.

Key Highlights:

  • GenAI Architecture & Safety – Advises on scalable, compliant system design.
  • Agent Orchestration Research – Advances patterns for reliable multi-agent workflows.
  • Reproducibility & Evaluation – Establishes training and test harnesses with traceability.
  • Regulatory Alignment – Maps practices to NIST AI RMF and EU AI Act requirements.

With a passion for democratizing AI in regulated industries, Sanjay is dedicated to helping businesses strengthen their compliance foundations while unlocking transformative AI capabilities.