LLM & ML Engineer

Kuber Shahi is an ML Engineer / AI Engineer with 2+ years of industry experience across ML systems, NLP, and large-scale data pipelines. He holds an MS CS (AI) from UC San Diego with a 4.0 GPA. His experience includes building and shipping production Vertex AI training pipelines, distributed PySpark ETL processing for millions of invoices, and graph analytics driving revenue growth. He has also researched uncertainty quantification for medical image registration. His projects involve LLM agent evaluation, low-resource NMT with LoRA fine-tuning, abstractive headline generation, and he is currently building a LangGraph-based agentic search system and a RAG-based document contradiction detector. He is open to MLE, AI Engineer, Applied Scientist, and Research Engineer roles.