Alex Gomez
Software Engineer & Applied AI Master’s Student
Full-Stack | Python | Cloud-Native
About Me
I am a Software Engineer and Master's student in Applied AI &
IoT with a strong foundation in cloud infrastructure and automation. My background
connects the physical world of IoT with scalable cloud architectures.
Currently, I work as an IT Engineer (SRE focus) at Propelus, where I build
automation pipelines and manage Identity Access Management systems. I am passionate about
leveraging Python, Docker, and Generative AI to build full-stack applications
that solve complex real-world problems.
Technical Skills
Languages & Frontend
Backend & Data
DevOps & Cloud
Featured Projects
MangaMatcher | Full-Stack Web App
Built a recommendation system that helps users discover manga through an interactive quiz and swipe-based interface. Developed a TF-IDF + cosine similarity machine learning model from scratch using scikit-learn to generate personalized recommendations. Integrated Google Gemini API to create AI chatbots that embody manga character personalities, enabling users to chat with their favorite characters. Architected the full-stack application with React.js frontend, Flask REST API backend, and SQLite database for managing user preferences and manga inventory. Submitted to ShellHacks 2025.
VoltGrid | EV Data Warehouse
Designed a normalized PostgreSQL database and ETL pipeline using Pandas to ingest 30,000+ real-world charging sessions from Caltech. Optimized geospatial queries using PostGIS and B-tree indexes, reducing execution time by 60% for complex aggregations.
GoBar | Embedded Systems IoT
Developed multi-threaded Python control logic on a Raspberry Pi 5 for real-time sensor fusion and actuator control. Optimized hardware drivers using C++ extensions for critical loops to ensure precise dispensing. Built a remote interface using Node-RED for system telemetry.
Experience
IT Engineer
Propelus | Aug 2022 - Present
- Engineered Python and PowerShell automation modules to enforce consistent system states, reducing operational toil by 40% through unattended execution.
- Architected a scalable IAM framework using Okta and RBAC strategies, standardizing authentication across disparate enterprise systems.
- Maximized system reliability by implementing SentinelOne for telemetry and anomaly detection, maintaining 99.9% uptime via proactive fault isolation.
- Orchestrated infrastructure project workflows in an Agile environment using Jira to track deliverables and operational KPIs.
Education
M.S. in Applied AI & IoT
Florida International University
Expected Dec 2026
B.S. in Internet of Things (IoT)
Florida International University
Graduated Dec 2024
Certifications
GIAC Cloud Security (GCLD)
SANS Institute
AWS Certified Cloud Practitioner
Amazon Web Services
Azure Fundamentals (AZ-900)
Microsoft
Azure AI Fundamentals (AI-900)
Microsoft
Azure Data Fundamentals (DP-900)
Microsoft