Nijat Mehtiyev
Engineering Advisor Ai Lead @California Resources Corporation
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WORK HISTORY
Engineering Advisor Ai Lead @California Resources Corporation
Bakersfield, CA, US
Managing mature onshore assets with wells across waterflood, steamflood, and primary depletion. Leading surveillance, infill development, capital workover planning, and SEC/PRMS reserves estimation. Built and deployed a Claude-powered multi-agent system that diagnoses well problems, traces root causes, and ranks intervention opportunities in a persistent semantic knowledge graph. Built MCP servers connecting Claude to enterprise Oracle databases, giving engineering teams natural-language access to production analytics. Leading internal adoption and piloting across multiple asset teams.
EDUCATION
Azerbaijan State Oil and Industry University • ASOIU
Bachelor’s Degree, Petroleum Engineering
Colorado School of Mines
Master’s Degree, Petroleum Engineering
SKILLS
ABOUT NIJAT MEHTIYEV
Licensed Professional Engineer with 15 years of diverse experience in reservoir management, flood surveillance, thermal recovery design, portfolio optimization, reserves estimation, and petrophysics. Now building multi-agent AI systems for well diagnostics, reservoir surveillance, and production optimization. Developed two systems: → Agentic well diagnostics system built on Claude utilizing specialized AI agents to analyze well production, injection, and event data in parallel, with cross-agent synthesis producing root cause diagnoses, causal chains, and prioritized recommendations. Builds a persistent semantic knowledge graph providing complete diagnostic context for each well and well group, enabling fleet-wide search and retrieval of production improvement and cost reduction opportunities. → Natural language access to enterprise databases using Model Context Protocol (MCP) servers connecting AI assistants to multiple Oracle/SQL Server databases. Built a domain-specific knowledge layer, skill files, query catalogs, and schema references that converts conversational questions into enterprise-specific SQL.
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