Jayaprakash S

WORK HISTORY

EDUCATION

ABOUT JAYAPRAKASH S

18 years of shipping production code — from COBOL batch jobs to LLM-powered AI agents.In the ever-evolving landscape of data and technology, my primary objective is to harness the power of data, transforming it into actionable insights that can drive strategic decision-making and create value for clients and stakeholders. This process involves meticulous data analysis, application of advanced machine learning techniques, and development of robust data engineering solutions.Current focus: Agentic AI, RAG architectures, MCP, Vector Databases, Distributed Compute Frameworks, Lakehouse, Spark Performance Tuning, Context Engineering and the infrastructure that makes GenAI actually work in production.In the realm of Machine Learning and Generative AI, I have developed a Machine Learning based Data Lineage solution and worked on Generative AI Based Data Governance, Data Lineage, and Code Development Solution. One of my key achievements is the development of a Metadata Driven Mainframe to ASCII Conversion framework. In a separate project, I have achieved a 5X performance improvement with 1/10th of CPU in Bigdata / spark pipelines, showcasing my ability to optimize machine learning workflows for efficiency.I leverage my deep knowledge and skills in Databricks and other Big Data tools to enable batch and real-time data ingestion, processing, and transformation. I also specialize in performance tuning of massive Spark jobs, continual process improvement, and data science.I enjoy contributing to the open source frameworks and published packages and mcps to open source communityOpen to connecting with folks building AI systems, data platforms, or ML infrastructure. Always happy to help.