Pradeep Vasu

About Pradeep Vasu

Dynamic and accomplished Director with over 20 years of experience leading engineering teams to deliver enterprise-scale solutions across diverse industries. A hands-on leader with extensive expertise in software development, Artificial Intelligence (AI), and Machine Learning (ML), with a focus on leveraging advanced technologies to drive innovation and meet business objectives. Specializes in building and scaling enterprise analytics applications using Java/JEE, Spring Boot, microservices, AWS, Databricks, and Snowflake, with a strong emphasis on integrating Generative AI (GenAI) into the software development lifecycle (SDLC) to streamline processes, automate tasks, and enhance decision-making through advanced analytics.Proven expertise in developing and deploying Agentic Systems—autonomous systems capable of intelligent decision-making and problem-solving across dynamic environments. These systems have driven operational efficiency, improved customer experiences, and scaled business processes. Skilled in leading high-performing teams that design and integrate AI/ML models and GenAI-based solutions within the Human Capital Management (HCM) domain, ensuring seamless integration with enterprise analytics applications.Adept at extracting actionable insights from complex data sets, implementing sophisticated analytical models, and fostering a data-driven culture throughout organizations. Deep domain knowledge in HCM and a strong track record of using data to address complex business challenges and optimize operations. Experienced in delivering large-scale projects globally, managing cross-functional teams, and aligning engineering efforts with business goals. Strong advocate for Agile methodologies and Design Thinking to ensure on-time, high-quality delivery.Technical expertise includes Java, Python, Spring Boot, AWS, Databricks, Snowflake, microservices, AI/ML, and big data analytics. Well-versed in regression and classification models, predictive analytics, neural networks, deep learning, NLP, computer vision, and Large Language Models (LLMs). Holds a Master’s in Data Science from Deakin University, a PG in AI/ML from the University of Texas at Austin, and is an Oracle Certified Java EE Enterprise Architect.

Experience

1. Director

   ADP

   Apr 2022 — Present

Education

• The University of Texas at Austin

  PGP, Artificial Intelligence

• Jawaharlal Nehru Technological University

  Bachelor of Technology - BTech

  2001 — 2005

• Deakin University

  Masters in Data Science, Data Science

Skills

• Java Enterprise Edition
• Software Project Management
• Web Services
• Struts
• Agile Methodologies
• Javascript
• Jsp
• Java
• Sql
• Hibernate
• Pl/Sql
• Oracle
• Requirements Analysis
• Servlets
• Sharepoint
• Core Java
• Sdlc
• Ssrs
• Requirements Gathering
• Microsoft Sql Server
• Spring
• Wcf
• Business Intelligence