Partnership opportunities

Register

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Harsh Nilesh
Pathak
Senior Machine Learning Scientist
GoDaddy
Harsh is a Senior Machine Learning Scientist at GoDaddy, leading many Generative AI, LLMs, and recommendation efforts. He specializes in collaborating cross-functionally with the product team, data science team, and sales to research AI use cases and integrate advanced solutions into business strategies. His proficiency lies in optimizing large-scale models and architectures, achieving a fine balance between precision and efficiency. Simultaneously, as a 4th-year Ph.D. Candidate in Data Science at Worcester Polytechnic Institute, he is delving deep into Deep Learning Optimization and Fine-tuning LLMs. His work bridges cutting-edge research with practical applications, ensuring scalable and economically viable solutions. Outside his professional realm, Harsh is an active contributor to AI development on GitHub and is committed to continuous learning and innovation in the field.
29 April 2025 14:00 - 14:30
How to build apps whilst prioritizing LLM performance
LLMOps ultimately comes down to driving greater performance in your LLM products. Building efficient LLM-powered apps requires expertize on designing and developing applications that leverage the power of LLMs while ensuring optimal performance, scalability, and user experience - all of which Harsh will cover in this presentation.