Professional portrait of Marcus Reese

Marcus Reese

AI Security Engineer

Computer Science student at LSU specializing in Data Science & Analytics and Cybersecurity. I build AI-powered cloud security systems that turn complex findings into fast, explainable action.

About Me

I am a Computer Science major at Louisiana State University (LSU), specializing in Data Science & Analytics and Cybersecurity, with a 3.7 GPA. I am a Chevron Energy Leader Scholar, NACME Scholar, Dean's List honoree, and two-time President's List honoree.

My experience includes building AI-powered code review and multi-region security validation systems at Amazon Web Services, protecting sensitive healthcare data at FMOLH, and automating enterprise DNS security at Southern Company. I work across AWS, Azure, machine learning, automation, and threat detection.

Beyond technical work, I served as Fundraising Chair for the National Society of Black Engineers and volunteer with the LSU Food Pantry, Greater Baton Rouge Food Bank, and Atlanta Community Food Bank.

3.7 GPA
Dec 2026 Expected Graduation

Technical Skills

AI & Machine Learning

Generative AI OpenAI Claude Code NLP PyTorch TensorFlow Hadoop PySpark Jupyter Notebooks

Cloud & Security

AWS Azure Security SIEM Splunk Palo Alto Rapid7 nmap TTP Analysis Infrastructure as Code Imperva

Programming

Java Python C C++ C# SQL TypeScript Bash PowerShell Linux JSON Mermaid

Data Engineering

ETL Pipelines Data Validation Schema Design Feature Engineering Distributed Analytics Streamlit

Certifications

AWS Certified Machine Learning Engineer — Associate
Amazon Web Services (AWS)
View Badge on Credly
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
View Badge on Credly
Google Cybersecurity Professional Certificate
Google
View Badge on Credly
CompTIA SecAI+ Certification
CompTIA
View Badge on Credly

Professional Experience

Security Engineer Intern — Security Analytics & AI Research (SAAR)
Amazon Web Services (AWS), Boston, MA
May 2026 — August 2026
  • Remediated a critical DynamoDB security rule coverage gap, validating 85% customer coverage across four regions and enabling production deployment.
  • Built an AI-powered security code review system using AWS Lambda, Amazon Bedrock, Claude, and SNS that generates structured feedback in under five minutes and routes code for approval, comments, or human review.
  • Engineered a reusable AWS CDK validation framework for automated multi-region security rule exposure validation, reducing per-rule implementation effort by 65–80%.
Cybersecurity Analyst Intern
Franciscan Missionaries of Our Lady Health (FMOLH), Baton Rouge, LA
August 2025 — May 2026
  • Investigated and resolved 50+ DLP incidents in Microsoft Sentinel, reducing incident response turnaround time by 20%.
  • Supported AI data security posture management initiatives across 10+ enterprise AI workflows, improving visibility into sensitive data usage by 30%.
Security Engineer Intern — Security Analytics & AI Research (SAAR)
Amazon Web Services (AWS), Boston, MA
May 2025 — August 2025
  • Developed a Python and NLP-based AI analysis tool for cloud incident triage, reducing response time by 25%.
  • Translated raw GuardDuty findings into structured threat intelligence used to improve detection accuracy.
  • Designed a multi-stage attack detection framework, reducing mean time to detection by 20%.
Cybersecurity Architect Intern
Southern Company, Atlanta, GA
May 2024 — August 2024
  • Managed 2,000+ enterprise DNS records and integrated them into an Imperva web application firewall, reducing misconfiguration vulnerabilities by 15%.
  • Improved DNS data accuracy by 25% through Python automation.

Featured Projects

PhishNet — Multi-Model Phishing Email Detection
Developed an explainable AI-powered phishing detection platform using BiLSTM, CNN, RNN, and feed-forward neural networks, with a Streamlit dashboard for model comparison and real-time analysis. Added token-level attribution and URL inspection to explain suspicious indicators.
Deep Learning Explainable AI NLP Python Streamlit
NBA Player Performance Analytics Platform
Built a collaborative data engineering platform with ETL pipelines, data validation, missing-value handling, schema design, and exploratory analysis. Designed SQL and PySpark transformations for distributed aggregations and feature engineering across NBA player and game data.
PySpark SQL ETL Data Engineering Agile

Leadership & Community

Fundraising Chair
National Society of Black Engineers (NSBE)

Led fundraising initiatives and financial strategy from 2024–2025 to support engineering education and professional development programs.

Community Volunteer
Food Bank Network

Volunteer with the LSU Food Pantry, Greater Baton Rouge Food Bank, and Atlanta Community Food Bank, supporting local food security initiatives.

Get In Touch

Contact Information

Email
marcusjreese1@gmail.com
Phone
(229) 699-0326
Location
Baton Rouge, LA
LinkedIn
linkedin.com/in/marcus-reese
Resume
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Awards & Honors

Chevron Energy Leader Scholarship
LSU
Dean's List
Fall 2023
President's List
Spring 2025
President's List
Fall 2025
NACME Scholar
Louisiana State University

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