Bio

Deepak Sai Pendyala is a Master’s student in Computer Science at North Carolina State University. He holds a B.Tech in Electrical and Computer Engineering from Amrita School of Engineering, India. Deepak currently collaborates as a Graduate Research Assistant under Professor Yaroslava Yingling, contributing to the STEPS Center through research in multi-agent systems, explainable AI, and feedback-driven pipelines. His work focuses on developing trustworthy and scalable AI architectures, particularly Retrieval-Augmented Generation (RAG) systems for scientific applications.

Previously, Deepak interned at Amazon as an Applied Scientist, where he developed GenAI-based solutions within Amazon’s FinTech division. He led the creation of specialized tools using AWS SageMaker and implemented a complete MLOps pipeline that supported end-to-end model lifecycle management, including feedback-driven retraining and deployment mechanisms. He is also an Intel IoT Student Ambassador, DeepLearning.AI Event Ambassador, Intel Edge AI Certified Developer, AWS Machine Learning Scholar, and was recognized as one of DeepLearning.AI’s Top 10 global Pie & AI Ambassadors in 2022.

View Deepak’s LinkedIn profile here. 

Area(s) of Expertise

Computer Science
AI