Resume | Sam Magee

Professional Summary

Computer science graduate with experience in operations, backend development, cloud infrastructure, automation, and SQL. Previously worked with C/C++, Java, Python, AI/ML, GCP, and AWS in enterprise environments. Strong background bridging infrastructure engineering with software development and automation.

Technical Skills

Languages

Python, Java, C/C++, LUA, C#, SQL, JavaScript, HTML/CSS

Frameworks

React, Node.js, Flask, Bootstrap

Developer Tools

Git, Docker, GCP, AWS, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse

Libraries & Technologies

TensorFlow, PyTorch, WinAPI, pandas, NumPy, Matplotlib, VMware, Microsoft Entra ID, SQL Server

Experience

IT Service Desk Analyst @ SHI

January 2025 – November 2025

Provided technical support for 7,000+ enterprise users in a fast-paced environment while consistently maintaining SLA compliance.
Resolved 25+ daily ServiceNow tickets involving software, networking, authentication, and infrastructure-related issues.
Administered Active Directory and Microsoft Entra ID environments, including onboarding, access management, and policy configuration.
Created technical documentation and process improvements that reduced ticket resolution times by 15%.
Collaborated with AI/ML R&D software engineering teams in the development of agentic solutions.

Jr. System Administrator @ Emerald Park

February 2022 – October 2024

Administered hybrid infrastructure environments including VMware, Dell EMC, HPE systems, Microsoft SQL Server, and enterprise backup platforms.
Designed and implemented automation solutions using PowerApps and PowerBI, significantly reducing manual operational workload.
Built and deployed a self-hosted open-source RMM solution that reduced annual company costs by $15,000.
Implemented hybrid Microsoft Entra ID integration and led organization-wide MFA rollout to strengthen security posture.
Optimized POS database workflows using caching mechanisms, improving transaction performance and scalability.
Worked with finance and operations teams to develop SQL-backed reporting and analytics solutions.

Projects

SentinelBERT — AI-powered log anomaly detection system

Python • PyTorch • HuggingFace • Streamlit

2026

Transformer-based security log anomaly detection system using a fine-tuned DistilBERT model to classify Windows and Azure authentication events (4624/4625/4768). Built a synthetic + Azure VM log generation pipeline to simulate realistic security telemetry for training and evaluation.
Implemented an end-to-end ML pipeline covering preprocessing, model training, and inference scoring with probabilistic risk classification (LOW / MEDIUM / HIGH).
Developed a Streamlit-based analyst dashboard for real-time log ingestion, anomaly scoring, and security event visualization to support SOC-style triage workflows.

AI-powered monitoring system for virtual machines

Python • PyTorch

2026

SRE-style predictive infrastructure monitoring system using an LSTM autoencoder to detect anomalies in VM CPU, memory, disk, and network metrics. Implemented per-VM dynamic baselines, explainable anomaly detection, and failure risk scoring. Developed an interactive Dash dashboard for fleet-level observability and real-time health insights across 50+ simulated virtual machines.

OpsGPT — Private IT Knowledge Base

Python • LangChain • Llama3 • FAISS

2026

A fully local RAG (Retrieval-Augmented Generation) chatbot for IT operations teams. Allows for loading internal runbooks, SOPs, knoweldge base articles and query in natural language.

AI Content Detection Thesis Project

Python • TensorFlow • Keras • NumPy • pandas

2024

Developed and evaluated machine learning models for detecting AI-generated imagery as part of undergraduate thesis research.
Performed data preprocessing, model training, and comparative analysis across multiple deep learning approaches.

Windows Remote Access Security Research

C • Python • WinAPI

2023

Developed a modular remote systems administration and security research tool using C, WinAPI, and a Python-based controller.
Implemented functionality for remote command execution, file transfer, screenshot capture, and modular system interaction.

Mechanix - Car Maintenance Tracker

TypeScript • Node.js • Supabase • Vercel

2026

Built a full-stack vehicle maintenance platform with authentication, image uploads, vehicle transfer, and multi-car management functionality.
Designed backend database structures and deployed the application using Supabase and Vercel cloud infrastructure.

Education

Bachelor of Science in Computer Science @ Technological University Dublin

August 2020 – May 2024

Minor in Cyber Security
Relevant coursework included algorithms, networking, secure programming, penetration testing, and software engineering.