Pavan Reddy

Background

About Pavan Reddy

I’m an AI Engineer with 7+ years of experience designing and deploying scalable ML and GenAI systems across Azure and AWS. With a strong foundation in mathematics and published research in anomaly detection, I specialize in distributed systems, Azure OpenAI, and Retrieval-Augmented Generation (RAG) pipelines. Built and fine-tuned LLMs using LoRA, deployed on AKS/Azure Functions for low-latency GenAI applications Developed compliance-driven safety layers, dynamic prompt strategies, and semantic search systems Led cross-functional teams, engineered distributed pipelines handling 100M+ records, and optimized cost-performance at scale Proficient in Python, PySpark, Azure ML, Databricks, Cognitive Search, and MLOps with Airflow & Azure DevOps Focused on Responsible AI, observability, and real-time inference with latency SLAs under 500ms Passionate about delivering innovative, high-impact AI solutions that are production-ready, scalable, and responsible.