Elia Ahadi is a Data and AI consultant with 10 years of experience building decision-ready datasets, metric definitions, and SQL-first analytics models that reduce dashboard disputes and enable reliable self-service. Skilled at bridging analytics engineering, data platform validation, and documentation, Elia has delivered trusted metrics and monitoring across government and enterprise environments, including leading AI and data platform programs at USDA. With a background spanning data engineering, full-stack development, and AI product management, he combines pragmatic pipeline QA with GenAI/LLM integration experience to scale secure ML workflows. Based in Washington, D.C., Elia pairs rigorous technical training from Stanford and Johns Hopkins with hands-on delivery, and is noted for making semantic layers and data quality checks both auditable and approachable for stakeholders.
10 years of coding experience
9 years of employment as a software developer
- Advanced Javascript web developer 3 month program, - Advanced Javascript web developer 3 month program at Code Chrysalis
Johns Hopkins University
Bachelor of Science (B.S.), Industrial Engineering, Bachelor of Science (B.S.), Industrial Engineering at Penn State University
Master of Science (M.S.), Mechanical Engineering, Master of Science (M.S.), Mechanical Engineering at Stanford University
Contributions:86 pushes, 2 branches in 1 year 10 months
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