GM.Gerard McCallion GitHub
Software engineering · Machine learning · Systems

Building Software
Solving Hard Problems

I’m Gerard, a Computer Science graduate and Electrical Engineering master’s student. I build software, work with scientific data, and explore the systems that connect computation with the physical world.

Explore my work GitHub profile
B.S. Computer Science · Magna Cum LaudeM.S. Electrical Engineering · In progress

01 / SELECTED WORK

Projects With Depth

A closer look at the problems, design decisions, and technical work behind the projects.

FEATURED PROJECT 2026 · SENIOR CAPSTONE

Solar Flare Prediction

Developed a Python/PyTorch pipeline to investigate 24-hour M-class solar-flare prediction using NASA Solar Dynamics Observatory imagery. Focused on dataset quality, leakage-resistant evaluation, and comparing spatial and temporal models. The weighted CNN + GRU reached 0.6379 test PR-AUC on the active-region-disjoint evaluation.

PythonPyTorchCNN / GRUScientific data
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Cover footage: NASA/GSFC/SDO · September 2017 M8.1 flare ↗ · View original animation ↗. Illustrative event footage, not a model input or forecast.

2025TEAM SOFTWARE ENGINEERING

Restaurant Booking & Operations

A Java/SQLite restaurant operations application built by a five-person team. As one of two primary developers, I implemented reporting, table management, employee and staff workflows, and contributed to reservation improvements with David Sanchez.

JavaJakarta JSP / ServletsSQLite
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2026ACADEMIC CLOUD WORK

Google Cloud Dataproc Migration

Helped migrate a six-person team's email spam-classification workload from Colab to Dataproc Serverless and a single-node cluster. Documented PySpark preparation, Keras training, cloud debugging, and a 0.9628 F1 recorded Serverless result.

Google CloudPySparkTensorFlow / Keras
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ADDITIONAL PROJECT · DATABASE DESIGN / SQL

Watersports Rental Database

A five-person course project modeling customers, employees, equipment and rental transactions in MySQL. Includes the original Workbench schema, synthetic sample data and SQL reporting with joins and correlated subqueries.

MySQLSQLRelational modeling
View project

02 / ABOUT

An Engineer’s Mindset,
Developed Across Disciplines

My work spans software development, scientific machine learning, and a growing foundation in electrical and embedded systems engineering. I earned my B.S. in Computer Science from California State University, Dominguez Hills, graduating Magna Cum Laude, and I’m currently pursuing an M.S. in Electrical Engineering at California State University, Los Angeles.

Before moving into technology, I developed years of experience leading teams and solving practical operational problems. That background shapes how I think about ownership, communication, reliability, and building tools that people can use.

TECHNOLOGIES USED IN PROJECTS & PRACTICE

PythonJavaC / C++SQLPyTorchGit / GitHubLinuxSQLiteGoogle Cloud

03 / CURRENTLY EXPLORING

Where Software Meets Hardware

My graduate studies and independent work are focused on developing practical embedded-systems skills, with a longer-term interest in aerospace computing and avionics.

CubeSat-inspired electronics and telemetry work is in preparation. This is an ongoing learning project, not a completed spacecraft system.

IN PROGRESS

Embedded Systems & Avionics Foundations

Microcontroller fundamentals, sensors, measurement tools, C/C++ practice, and structured test/debug workflows.

04 / CONTACT

Let’s Build Something Useful

Interested in software engineering, scientific computing, or systems work? I’d be glad to connect.

Email me LinkedIn GitHub