Carlos Raygoza

Data Engineer & Systems Analyst

Technician-turned-data practitioner with 5+ years of hands-on experience building data pipelines, automating manufacturing analytics, and prototyping AI/ML solutions. Expertise in bridging hardware systems with scalable data tools, from semiconductor equipment maintenance to production-ready automation workflows. Proven ability to transform manual processes, apply computer vision to real-world problems, and deliver data-driven insights across cross-functional teams.

Featured Projects

screenshot of the open web UI landing page

Self-Hosted Open WebUI

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Deployed and configured a self-hosted instance of Open WebUI, served securely over the internet using Cloudflare Tunnel. This project demonstrates cloud infrastructure management, security implementation, and modern web application deployment practices.

Docker Cloudflare Linux Web Services Security

screenshot of a windows terminal showing calculations being completed

Machine Data Disposition Script

Developed Python command-line tool using NumPy to automate semiconductor tool log analysis and engineering calculations, reducing disposition time by 93% (30min → 2min). Earned Quality Person of the Month recognition.

Python NumPy CLI Automation Manufacturing

screenshot of an graphical user interface with a button to select images and another button to start image classification

2D XRAY Defect Detection System

Prototyped deep learning model for semiconductor defect detection using TensorFlow and Microsoft AutoML, processing 1,300+ manually labeled XRAY images for silicon bump defect identification with computer vision techniques.

TensorFlow Computer Vision C# AutoML CNN

screenshot of a bar chart made with plotly

Production Tool Error Analysis

Self-initiated investigation of recurring production errors using systematic data extraction and analysis. Used Python, Pandas, and Plotly to cleanse, organize, and visualize the data in Jupyter notebook. Identified root causes of persistent manufacturing issues.

Python Pandas Plotly Jupyter Data Analysis

screenshot of an Ionizer Tracker PowerApps app main menu showing multiple buttons

Microsoft PowerApps Data Standardization

Designed enterprise application to standardize inventory tracking data, replacing error-prone Excel workflows. Served 15+ users with structured interface for data management, improving accuracy and enabling audit trails with timestamps and user tracking.

PowerApps SharePoint Data Management Business Process UI/UX

Robotics
Project

Remote Controlled Tank Tread Robot

Designed and built remote-controlled tank robot integrating power management, motor drivers, and Raspberry Pi control system. Developed Python control software using GPIO libraries for motor control and real-time system response.

Raspberry Pi Python GPIO Hardware Design Robotics