Bio
Chandra Madhumanchi is a seasoned technology leader with over 20 years of experience in enterprise application development, data engineering, and AI/ML solution delivery. As a Principal Machine Learning Engineer at Walmart, he has spearheaded numerous initiatives, including ML pipelines for merchandising optimization, inventory forecasting, and recommendation systems leveraging platforms like GCP Vertex AI, PyTorch, TensorFlow, and Spark. Chandra has a deep background in building and scaling data-intensive applications and real-time streaming pipelines using Spark, Kafka, and cloud-native services across GCP, Azure, and AWS. His expertise spans ETL architecture, model deployment, NLP, microservices development, and MLOps. He has also contributed to projects at Safeway, Gap Inc., and Cisco, building recommendation engines, customer data platforms, and security policy systems. A certified expert in Apache Spark, Scala, and Machine Learning, Chandra holds a Master’s in Computer Applications and completed a Postgraduate Program in AI/ML from the University of Texas at Austin.