Kirubakaran Velswamy
Data Scientist - Contract @Amgen
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WORK HISTORY
Data Scientist - Contract @Amgen
Led architecture and deployment of Generative AI tools within Engineering, including hybrid Retrieval-Augmented Generation (RAG) systems for optimizing CMMS workflows for unstructured (free-text) and structured data.Built and maintained scalable AI infrastructure on Databricks and Azure, integrating SQL-based agents and vector stores for contextual document search and retrieval.Delivered end-to-end applications using Streamlit and Langchain, incorporating governance frameworks to ensure ethical AI use.Championed data product thinking and implemented secure, reusable pipelines aligned with organizational AI standards.Actively promoted digital upskilling and agile delivery practices through demos and internal training sessions.
EDUCATION
Bharathidasan University
BE, Electronics and Instrumentation
National Institute of Technology, Tiruchirappalli
Doctor of Philosophy - PhD, Chemical Engineering
National Institute of Technology, Tiruchirappalli
M.Tech, Process Control and Instrumentation
SKILLS
ABOUT KIRUBAKARAN VELSWAMY
I’m a Data Scientist and Control Systems expert with 10+ years of experience transforming industrial and energy operations through machine learning, reinforcement learning, and advanced control strategies. My work bridges theory and deployment—delivering production-grade solutions using SCADA/IoT data, real-time optimization, and digital twins. From designing self-maintaining ML systems to building predictive soft sensors and operator recommendation engines, I’ve helped teams innovate at scale. I thrive in environments where complex challenges meet practical execution—whether through mentoring, cross-functional collaboration, or co-innovation with academic and industry partners. Technologies I work with include GenAI, Python, SQL, Databricks, TensorFlow, and AWS. I’m also an active researcher and have been an Assistant Editor with Elsevier’s Control Engineering Practice, contributing to the global discourse on industrial aspects. Let’s connect if you’re working at the intersection of data science and operations—and believe in building smarter, more adaptive systems.
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