I’m Sergio Gallegos — a Controls Engineering Manager with 14+ years of experience in industrial automation, machine controls, robotics, motion, industrial networking, and production-critical systems.

I’m currently completing an M.S. in Software Engineering and transitioning deeper into product software engineering for industrial platforms.

My primary software interests are:

• backend and platform engineering
• industrial connectivity
• SCADA / MES / historian systems
• OT data infrastructure
• concurrent and event-driven systems
• high-reliability stateful software
• performance-oriented systems programming

I’m especially interested in software teams building products that sit between machines, industrial networks, data, and modern software infrastructure.

• Industrial software platforms
• Backend systems
• OT connectivity and protocol integration
• SCADA / MES / historian architecture
• Time-series and industrial data pipelines
• Concurrent and asynchronous systems
• Event-driven architectures
• Distributed-system fundamentals
• Performance and reliability
• Open-source industrial tooling

A cross-platform EtherNet/IP / CIP explicit-messaging client for industrial automation systems.

Built with a focus on:

• Allen-Bradley ControlLogix / CompactLogix communication
• high-performance industrial networking
• async Rust with Tokio
• memory-safe systems programming
• multi-language APIs
• production-oriented industrial connectivity

Languages / APIs:

• Rust
• C#
• Python
• C
• C++

🔗 https://github.com/sergiogallegos/rust-ethernet-ip

An open-source industrial HMI / SCADA platform exploring modern software architecture for automation systems.

Areas of focus:

• web-native industrial interfaces
• real-time tag visualization
• PLC / protocol connectivity
• alarms and historian concepts
• modular driver architecture
• extensible backend services
• modern OT software design

🔗 https://github.com/sergiogallegos/OpenWebHMI

I’m actively developing deeper product-software expertise around the systems commonly found inside SCADA, MES, historian, and OT data platforms.

Current study and project areas include:

• domain modeling
• data structures and algorithms
• concurrency and worker architectures
• PostgreSQL / TimescaleDB
• time-series ingestion and aggregation
• MQTT and event-driven systems
• REST and WebSocket APIs
• distributed-system reliability
• observability
• fault recovery
• protocol abstraction
• Docker and CI/CD

• TypeScript / Node.js
• C# / .NET
• Rust
• PostgreSQL
• TimescaleDB
• REST APIs
• WebSockets
• MQTT
• Docker
• GitHub Actions

• React
• TypeScript
• real-time industrial dashboards
• lightweight visualization

• Allen-Bradley / Rockwell Automation
• ControlLogix / CompactLogix
• Beckhoff TwinCAT
• PLC programming
• HMI / SCADA
• industrial robotics
• servo / motion control
• industrial vision systems
• EtherNet/IP / CIP
• OPC UA
• MQTT
• Modbus
• industrial Ethernet
• machine commissioning and troubleshooting

• Software architecture
• Distributed systems
• Concurrent programming
• Backend engineering
• Databases and time-series systems
• Systems programming
• Performance engineering
• Scientific computing
• Numerical methods
• Optimization
• Computational modeling

In progress — expected Spring 2027

Relevant coursework:

• Software Requirements Engineering
• Software Project Management
• Software Architecture & Design
• Software Integration / Verification & Validation
• Machine Learning
• Data Mining
• Software Construction
• Advanced Algorithms
• Software Engineering Practicum

Computer science leveling / foundation work:

• Discrete Mathematics
• Data Structures
• Advanced Object-Oriented Programming

Background includes:

• control systems
• dynamics
• thermodynamics
• fluid mechanics
• heat transfer
• electrical systems
• electronics
• robotics / automation
• mathematics through differential equations
• probability and statistics

• Linux
• macOS
• Windows
• Ghostty
• Neovim
• Zed
• Git
• Docker
• GitHub Actions

• Father of two
• Lifelong learner
• Interested in teaching, research, and open-source engineering
• Enjoy systems, algorithms, industrial technology, math, and scientific computing