Summary
Gurubux Gill is a Data Science Specialist with nine years of experience building production ML and GenAI solutions across healthcare, travel, and enterprise domains. He has driven measurable impact—cutting insight delivery times by 80% at health-equity.ai and improving pipeline efficiency by 50% at Railofy—by combining end-to-end data engineering, MLOps, and LLM-powered RAG systems. Comfortable with cloud platforms (AWS/GCP/Azure), he designs explainable pipelines (SHAP), Streamlit dashboards, and automated validation for fact-checking and revenue-cycle products. He also co-founds an AI-focused medical billing startup and consults internationally, bridging technical delivery with strategic storytelling for NHS, pharma, and public-sector stakeholders. Known for squeezing latency out of ETL (ELK/airflow) and iterating model performance in production, he blends hands-on engineering with business-facing communication to turn complex health data into actionable policy and clinical insights.
9 years of coding experience
6 years of employment as a software developer
High School Diploma Computer Engineering, High School Diploma Computer Engineering at Sardar Vallabhbhai patel Polytechnic
Bachelor of Engineering (BE) Computer Engineering, Bachelor of Engineering (BE) Computer Engineering at St. Francis Institute Of Technology
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Sussex
Full Stack Web Development Certification Computer Software Engineering, Full Stack Web Development Certification Computer Software Engineering at freeCodeCamp