Alex Gomez

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

Python JavaScript (ES6+) React.js Node.js C++ HTML/CSS

Backend & Data

Flask Pandas PostgreSQL MongoDB SQLAlchemy REST APIs

DevOps & Cloud

Docker AWS (EC2, S3) GitHub Actions Linux/Unix Azure Git

Featured Projects

MangaMatcher | Full-Stack Web App

React Flask ML

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.

Machine Learning TF-IDF Cosine Similarity Google Gemini API SQLite RESTful API scikit-learn

VoltGrid | EV Data Warehouse

Data Eng Docker

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.

Python ETL PostGIS SQL Optimization
View Code

GoBar | Embedded Systems IoT

Hardware C++

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.

Raspberry Pi Multi-threading IoT
View Code

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