Uday Yallapragada is a technical leader with over 20 years of experience in machine learning and software development. Uday brings a wealth of expertise in generative AI, machine learning, natural language processing and data science pipelines. He led successful execution of solutions for several use cases ranging from retrieval augmented generation, recommendation engines and text classifiers to network analysis. Uday has a passion for designing and developing responsible end-to-end AI and ML solutions.
Uday Yallapragada possesses a unique blend of technical, business, and leadership expertise, enabling him to provide strategic and tactical guidance in designing and implementing innovative solutions for various industries. His work ensures that clients achieve their business objectives through robust, scalable, and efficient machine learning solutions, enhancing operational efficiencies and automating complex workflows. With a strong background in software development, Uday has expertise in languages such as Python, Java and C++, and has successfully delivered high-quality projects on time. He has experience working with various technologies, including AWS, Azure, Google Cloud, and Databricks, and is well-versed in DevOps practices, agile methodologies, and IT service management.
Uday Yallapragada’s expertise spans multiple domains, including healthcare, finance, retail, and the public sector. He has held various roles, including Senior Solutions Architect, Lead Data Scientist, and Technical Architect, and has worked with prestigious companies such as Perficient, Acorns, Humana, and the US Federal Government. His notable achievements include designing and developing an end-to-end Retrieval-Augmented Generation (RAG) solution for a large utility company and delivering a comprehensive set of design artifacts and leading a team to implement an end-to-end email automation solution for a manufacturing company using AWS technologies. Additionally, Uday led the development of a churn prediction model for a premier health and fitness club and provided architecture guidance to a global insurance company for RAG use cases.
Uday Yallapragada is passionate about innovation and continuous learning, with certifications in Deep Learning Specialization, Generative AI with Large Language Models, and Databricks Certified Generative AI Engineer Associate. He holds a PhD in Bioinformatics and Computational Biology from George Mason University and a Master’s in Computer Science from Michigan State University. With a strong network of connections and a consistent record of delivering results, Uday is confident in his ability to drive success in the industry. As a forward-thinking professional, Uday is committed to staying at the forefront of emerging technologies and trends, ensuring that his clients and organizations he works with remain competitive and innovative.