Houston, TX

Ash Moinzadeh

Generalist engineer working across software, data, infrastructure, and analytics.

I work on everything from cloud infrastructure and internal tools to analytics and AI.

Systems first.

People always.

I'm a generalist working across software, data, infrastructure, and analytics.

My work includes designing cloud systems, building data pipelines and APIs, developing internal applications, and creating analytical tools for operational teams.

I enjoy working across the stack and collaborating closely with the people who use the systems I build.

// 5 selected systems

Selected work.

Drilling Fluids Platform

Overview: A customer-facing operations platform covering the drilling-fluid lifecycle from pre-well planning through field execution and post-well reporting.
Scope: The platform brings together mud programs, daily field data, fluid properties, treatments, product usage, inventory, costs, documents, historical well data, reporting, analytics, and AI-assisted insights in a shared system for office and field teams.
Architecture: Available across web, desktop, and mobile, with a React and TypeScript frontend connected to Rust services, Azure and SQL infrastructure, Databricks processing, document-ingestion pipelines, and Tauri native integrations.

Secure Operational Data MCP Server

Problem: AI clients needed governed access to internal business and operational data without write access or direct exposure of underlying systems.
Built: A hosted HTTP-based MCP service using Microsoft Entra ID, role-based authorization, Azure API Management, Azure Container Apps, Data API Builder, Azure SQL, and a gateway that exposes multiple authorized data domains through one connection.
Outcome: A secure, read-only bridge between approved AI clients and internal data domains.

MCP · Microsoft Entra ID · Azure API Management · Azure Container Apps · Data API Builder · Azure SQL

Lab Operations Platform

Problem: Laboratory workflows, operational data, analytics, and documents were fragmented across separate systems.
Built: A containerized Flask application using Microsoft Entra ID, role-based access, Azure SQL over ODBC, Azure File Share, Gunicorn, and Azure Container Apps.
Outcome: One authenticated interface for laboratory operations, data, analytics, and documents.

Python · Flask · Microsoft Entra ID · Azure SQL · ODBC · Azure File Share · Gunicorn · Azure Container Apps

Engineering Analytics Hub

Problem: Engineering dashboards, report generation, data exploration, laboratory workflows, and documents were spread across disconnected tools.
Built: A modular Flask portal integrating Databricks SQL, Azure SQL, Azure storage, Microsoft Graph, enterprise authentication, interactive analytics, document generation, and practical AI-assisted reporting.
Outcome: A centralized self-service environment for engineering analysis and workflow execution.

Python · Flask · Databricks SQL · Azure SQL · Microsoft Graph · Plotly · OpenAI

Azure Operational Data Platform

Overview: A shared Azure data and application platform supporting ingestion, processing, operational software, analytics, document storage, messaging, and AI access.
Infrastructure: The platform uses Logic Apps for scheduling and event-driven orchestration, Databricks for data processing, Azure SQL for structured operational data, Azure Data Lake Storage Gen2 for files and documents, Service Bus and Redis for application infrastructure, and Container Apps for internal services and APIs.
Access: Processed data supports internal applications, Power BI reporting, and an MCP layer that gives AI systems controlled access to operational data.

Azure Logic Apps · Databricks · Azure SQL · Azure Data Lake Storage Gen2 · Service Bus · Redis · Container Apps · Docker · Power BI · MCP

Background

Director of Data & Software Engineering

Current role

Master of Data Science

University of California, Berkeley

Bachelor of Science in Physics

University of Washington, Seattle

[view my full professional history]

Outside of Work

I play guitar, study languages (Italian and Mandarin), and spend a fair amount of time in the gym. I also build small software projects to explore ideas, learn theory and master implementations.

Get in touch

I’m always interested in meeting people who are working on interesting problems.

Feel free to reach out!

Email me LinkedIn