SYSTEM INIT....................................................... [OK]
LOADING MODULE: anthony-mora-portfolio.exe
VERIFYING CREDENTIALS..........................................[PASS]
ESTABLISHING SECURE CONNECTION...................................[OK]
DECRYPTING PROFILE DATA.........................................[OK]
LOADING: CS RESEARCHER // QA ENGINEER // ML DEVELOPER
► SYSTEM READY. WELCOME.
[ PORTFOLIO // 2026 ]

ANTHONY
MORA

Lead Researcher // QA Engineer // ML Developer // Web Developer
VIEW PROJECTS GET IN TOUCH
SCROLL
01 // ABOUT

SYSTEM PROFILE

anthony@workstation:~$
$ whoami --verbose
NAME Anthony Mora
LOCATION Fruita, CO
PHONE (970) 985-1059
EMAIL Anthonyzolmora@outlook.com
GITHUB allenmonkey970
$ cat summary.txt
Dual-enrolled computer science student at Colorado Mesa University pursuing a B.S. in Computer Science with a Cybersecurity minor. Experienced in automated QA testing across Android, web, and TV platforms using industry-standard tools and backend services. Published cybersecurity researcher applying machine learning to real-world security problems — upcoming papers on UAV GPS attacks and RAG system best practices. Presented research at MobiSec 2025.
$
02 // CAPABILITIES

SKILL MATRIX

LANGUAGES
Python95%
TypeScript80%
HTML / CSS90%
C++72%
Go60%
TESTING & QA
Playwright90%
UI Automator85%
ADB (Android)80%
Postman85%
ML & DATA SCIENCE
scikit-learn90%
PyTorch75%
TensorFlow70%
Pandas / NumPy92%
ECOSYSTEM
ReactViteBootstrap DockerNginxNode.js WebSocketFirebaseMongoDB Git / GitLabJiraConfluence OpenWRTXGBoostLightGBM NEATOptunaSMOTE SHAPMatplotlibSeaborn
03 // EXPERIENCE

DEPLOYMENT LOG

DECEMBER 2024 — PRESENT
Sky Peak Technologies
Quality Assurance (QA) Intern
// Grand Junction, CO
  • Developed and maintained automated test suites for Android phones, TV devices, and customer-facing web apps.
  • Built end-to-end tests for web platforms using Playwright, validating UI behavior and verifying data against Firebase.
  • Automated device testing on Android using Google's UI Automator, ensuring app data matched backend records.
  • Used ADB to collect live-streaming metrics — resolution, buffering, playback health — cross-checked against router logs and database entries.
  • Supported AI model training data collection by automating streaming scenarios with Playwright and storing data in MongoDB.
  • Conducted API QA using Python curl scripts and Postman to validate endpoint reliability.
  • Installed OpenWRT firmware on a consumer router and deployed the company app to QA in a real-world home environment.
MARCH 2025 — PRESENT
Colorado Mesa University
Cybersecurity Researcher
// Grand Junction, CO
  • Applying machine learning to build scalable threat-detection pipelines for real-world cybersecurity problems.
  • Published on malicious packet detection in medical IoT; upcoming papers on UAV GPS attacks and RAG security architecture.
  • Presented at MobiSec 2025 — The 9th International Conference on Mobile Internet Security.
  • Co-authored study comparing DPKT vs. CICFlowMeter feature extraction (39 vs. 79 features) across XGBoost, AdaBoost, Random Forest, MLP, and Logistic Regression on CICIoMT2024 dataset.
  • Built and maintained ML pipelines on shared Linux server infrastructure (Ubuntu 22.04, HP ProLiant) with datasets up to 40 GB.
AUGUST 2024 — DECEMBER 2024
Fruita Monument High School
Head Website Intern
// Fruita, CO
  • Rebuilt and maintained the school website using HTML, CSS, and Bootstrap.
  • Managed ongoing content updates through the district's CMS to meet district standards.
SEPTEMBER 2025 — DECEMBER 2025
Taco Bell
Service Associate
// Fruita, CO
  • Delivered accurate order handling and customer service in a high-volume environment.
  • Cross-trained across front counter, kitchen, and drive-thru, demonstrating adaptability and team-first mindset.
  • Developed time management and multitasking skills under pressure.
04 // EDUCATION

TRAINING MODULES

UNIVERSITY
Colorado Mesa University
B.S. Computer Science · Cybersecurity Minor
March 2023 — May 2027
Dual-enrolled alongside high school coursework. Active cybersecurity researcher. Presidential List & Dean's List recipient.
HIGH SCHOOL
Fruita Monument High School
High School Diploma
August 2022 — May 2026
4.0 GPA. Lettering award for maintaining 3.5+ GPA. Dual-enrolled at CMU throughout high school career.
CERTIFICATE
Complete A.I. & Machine Learning, Data Science Bootcamp
Professional Certificate
2025
Comprehensive curriculum in Python for data analysis — Pandas, Matplotlib, scikit-learn, TensorFlow. Hands-on ML projects.
05 // PROJECTS

DEPLOYED TOOLS

PROJECT_001
PyMonitor
Real-time Windows hardware monitor built across three layers: Python + Tkinter desktop app collecting CPU, GPU, memory, disk, network, and battery data every 2s; a Node.js TypeScript WebSocket relay; and a React + Vite web dashboard. Ships as Docker containers behind Nginx via a single docker-compose up.
Python TypeScript React Docker WebSocket
PROJECT_002
NEAT-Pacman
Pacman simulation where an AI agent evolves to play via NEAT (NeuroEvolution of Augmenting Topologies). Includes full training workflows, replay and visualization tools for inspecting agent behavior, and automated hyperparameter tuning with Optuna.
Python NEAT Optuna
PROJECT_003
IntelexVsCuda
ML benchmark comparing Intel's scikit-learn-intelex (CPU) against NVIDIA's CuPy (GPU) across LightGBM, XGBoost, Logistic Regression, Random Forest, AdaBoost, and MLP. Full methodology documented in a public GitHub repository.
Python ML CUDA CPU Benchmark
PROJECT_004
PyNetTools
Network diagnostics and analysis toolkit with CLI and interactive interfaces. Implements ping, traceroute, port scanning, OS detection, ping sweeps, and speed testing — with emphasis on practical troubleshooting and clear output formatting.
Python Networking Diagnostics
PROJECT_005
Window-Resizer
Windows desktop utility that lists and filters active application windows, then resizes and repositions them from a simple GUI. Built for speed — quickly find any window and apply consistent sizes and placements for multi-window workflows.
Python Windows GUI
06 // RESEARCH

INTEL REPORTS

PUBLISHED
PUBLISHED // MOBISEC 2025
The Effect of Increased Dimensionality on Detecting Malicious IoMT Network Traffic
Jayden Alonzo-Estrada, Anthony Mora, Abraham Avila, Ram Basnet
Accepted December 2025 · Presented at MobiSec 2025 — The 9th International Conference on Mobile Internet Security
Compares DPKT (39 features) vs. CICFlowMeter (79 features) across XGBoost, AdaBoost, Random Forest, MLP, and Logistic Regression on the CICIoMT2024 dataset for binary, class, and sub-class malicious traffic detection.
UPCOMING
IN PREPARATION
Image-Based Intrusion Detection System for GPS Spoofing in Unmanned Aerial Vehicles
Anthony Mora, Aidan Meens, Michael A. Nuttall, Ram Basnet
Upcoming publication
Compares image-based IDS (binary image encoding + CNN/ResNet) with traditional ML and deep learning on the UAV Attack Dataset. Evaluates SHAP-based feature selection, SMOTE, and synthetic data generation (CTGAN, TVAE, Gaussian Copula) for GPS-spoofing detection.
IN PREPARATION
A Practical Security Architecture for Company RAG-LLM Systems
Anthony Mora, Jayden Alonzo-Estrada, Ram Basnet
Upcoming publication
Proposes a secure RAG architecture with Llama Prompt Guard 2 input classifier, multi-stage PII redaction, and identity-based access control (IBAC) via PostgreSQL/Supabase. Evaluated against prompt injection, mismatched generalization, and RAG poisoning attacks on a simulated property management knowledge base.
AWARDS & RECOGNITION
🏆
NCAE CyberGames — Most Improved Teammate
2025 // Northwest 2 Regionals
⭐
Presidential List
Colorado Mesa University // 3.8+ GPA
📋
Dean's List
Colorado Mesa University // 3.5+ GPA
🎓
Lettering Award
Fruita Monument High School // 3.5+ GPA
07 // CONTACT

ESTABLISH CONNECTION

Open to research collaborations, QA / ML engineering roles,
and software development opportunities.

EMAIL GITHUB (970) 985-1059