Nikhil Pareek
Founder and CEO · Future AGI
Nikhil builds tooling for agent engineering and optimization, drawing on work in autonomous systems and applied data science across industries.
Recorded on
Can AI Actually Self-Improve?
with Aishwarya Srinivasan, Arvind Narayanamurthy
Nikhil Pareek presents a practical improvement cycle for AI agents: simulate situations, evaluate failures, identify causes, propose changes and validate the results with appropriate human oversight.
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What you’ll explore
Connect evaluation to improvement
Trace failures through diagnosis, correction and validation.
Set safe change boundaries
Choose which prompts, retrieval paths, tools or models may change.
Keep human judgment where needed
Distinguish feasible automation from decisions requiring review.
About this session
Nikhil Pareek presents a practical improvement cycle for AI agents: simulate situations, evaluate failures, identify causes, propose changes and validate the results with appropriate human oversight.
Guest speaker
The Gen Academy
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
Aishwarya Srinivasan
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Arvind Narayanamurthy
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.