Shivam Kumar

WORK HISTORY

EDUCATION

ABOUT SHIVAM KUMAR

I work at the intersection of AI research and engineering, focusing on generative AI, LLM systems, and self-supervised learning for time-series and causal inference. My work blends algorithmic depth with practical system design so that models don’t just perform well in experiments but hold up in real-world conditions.I enjoy designing pipelines that are reliable, efficient, and structured end-to-end. Most of what I build sits in one of these areas:• LLM engineering including RAG pipelines, structured generation, and intelligent agents• Self-supervised representation learning for time-series, sequential data, and causal analysis• Scalable ML systems with an emphasis on reproducibility, clean abstraction, and performance• Cloud and serverless workflows that enable fast deployment and efficient automationI like taking complex problems and carving them down into simple, grounded steps. My aim is always the same: solutions that are practical, maintainable, and aligned with real user needs.You can explore my projects and research work here:github.com/shivamlko9832Open to collaborations in Generative AI, Time-Series Intelligence, and Applied ML Engineering.