Sayali Kandarkar

Sayali Kandarkar is a senior software engineer in the AI/ML domain at NVIDIA, with a focus on products such as NeMo Framework, NemoClaw, and NeMo Microservices for fine-tuning, evaluation, and safety using guardrails on NVIDIA models. She is a core contributor to NVIDIA open source agent skills repository and plays a key role in the evaluation of agentic AI frameworks including NemoClaw. Her work in validating and optimizing generative AI workflows, combined with performance benchmarking through fine-tuning of LLM, VLM, and MOE models, has helped streamline AI products for real-world applications. Her work also involves representing NVIDIA at conferences and creating developer-focused content that helps new users adopt NVIDIA AI products. Prior to NVIDIA, Sayali earned her master’s degree in Artificial Intelligence from Carnegie Mellon University.
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Posts by Sayali Kandarkar

Agentic AI / Generative AI

NVIDIA-Verified Agent Skills Provide Capability Governance for AI Agents

Autonomous AI agents are becoming more capable. Open models, Model Context Protocol (MCP)-connected tools, and portable skills are also making agents easier to... 8 MIN READ