Professional Summary
Cybersecurity professional with a Master's in Information Security from Carnegie Mellon, specializing in anomaly detection, network defense, and AI-driven threat analysis. Proven experience in federal cybersecurity compliance, full-stack development, and machine learning applications.
Education
Carnegie Mellon University
Master of Science in Information Security Policy & Management | Pittsburgh, PA | GPA: 3.9University of Puerto Rico - Rio Piedras Campus
Bachelor of Science in Computer Science | San Juan, PR | GPA: 3.6Hobbies/Projects
Freelancing at Fiverr - https://www.fiverr.com/s/38pz19L
Python app & Web Designer- Developed custom Python programs, web applications and web scrapers for clients.
- Applications are coded to allow clients to communicate with any requested publicly available API. Most requested APIs are for video games and ChatGPT.
- Utilized frameworks such as FastAPI, Flask and Django to build responsive and user-friendly websites.
- Docker containerization for security and OS agnostic deployment
- Provided ongoing support and maintenance for deployed applications, ensuring optimal performance and security.
Experience
NeoSystems
Cyber Security Operations Analyst I | Oct 2025 – current | Remote- Monitored and triaged security alerts in Microsoft 365 Defender and SentinelOne, overseeing 1,000+ endpoints across clients.
- Identified false positives and escalated validated true positives, responding to malware indicators, anomalous remote access activity, and early signs of threat actor behavior in accordance with CMMC 2.0 and NIST 800-171.
- Assisted in active investigations by collecting logs, evidence, and user/device activity into documented timelines.
- Improved security hygiene through vulnerability and patch management. Leveraged Microsoft Defender Vulnerability Management and partnered with infrastructure teams to prioritize and remediate risks across customer environments.
Self-employed
Computer Science Tutor & Freelance Developer | Oct 2023 – Sept 2025 | Springfield, VA- Tutored students in data structures, algorithms, ML, networks, and cybersecurity.
- Developed and deployed full-stack web applications using Docker containers for security and process isolation. (FastAPI/Quart/Flask, MySQL/Postgres, HTML/CSS/JS, VPS)
National Science Foundation - OIG
IT Specialist - Information Security (INFOSEC) | Jul 2021 – Sep 2023 | Alexandria, VA- Performed security audits and developed Python apps for NSF and US Antarctic Program.
- Created travel-based anomaly network detection systems, which identified employees working from high-risk or unauthorized locations while handling sensitive equipment.
- Automated the identification pipeline for high-risk grant awardees, reducing processing time from one month to one day—a 96.7% efficiency improvement.
Carnegie Mellon Univ. - Entrepreneurship Competition
Intern | Jun 2020 – Aug 2020 | Pittsburgh, PA- Won 1st place with an ML-based IDS identifying stylometric code authorship, which distinguished unknown threat actors from authorized code authors (85% accuracy).
Brookhaven National Laboratory
Machine Learning Intern | Jun 2019 – Aug 2019 | Upton, NY- Created a PyTorch-based model for gold nanoparticle tracking with 98.78% accuracy, to support electric vehicle battery performance research.
University of Puerto Rico
Research Assistant | 'Honeybee Behavior Analysis using Convolutional Neural Networks' with Dr. Rémi Mégret | Jan 2019 – May 2019 | San Juan, Puerto Rico- Researched the detailed implementation of image classification machine learning algorithms of VGG and ResNET
- Developed a machine learning model (Tensorflow) to detect bee "fanning" behavior (the fluttering of wings prior to flight) to study the behaviors of bees over a week-timeline and correlation to health based on activity
- Utilized a database of 1,629 (915 fanning & 714 non-fanning) bee pictures from a local university bee farm
- Obtained a 98% accuracy on bee fanning detection.
Florida International University
Intern | 'Classifying Android Malware Using App Permission and Intents' with Dr. A. Selcuk Uluagac | Jun 2018 – Jul 2018 | Miami, FL, U.S.A- Investigated the internals of Android OS and methods/features to detect malware by antivirus software
- Developed a machine learning algorithm (Scikit learn & Python) which detected if an Android app contained malware through static analysis of intents and Android library calls
- Utilized a database of 47,682 malicious and 61,061 benign apps
- Obtained a detection rate of 89% on untrained Android apps
University of Puerto Rico
Research (Self-study) | 'Techniques for IPv4/IPv6 Network Flow and Anomaly Detection in a Hyperboria Network' with Dr. Humberto Ortiz-Zuazaga | Mar 2018 – May 2018 | San Juan, Puerto Rico- Researched the Ipv4/Ipv6 'Hyperboria' Network, a security focused network
- Analyzed .pcap captures of daily transmission of academic data between local and external university servers
- Discovered packets that were being undetected by Wireshark due to custom headers
- Created new filters/signatures based on new protocol data for improved network monitoring
- Segregated anomalies from regular traffic flow with new signatures
Certifications
- CompTIA Security+ (2022)
- CompTIA Network+ (2012)
- CompTIA A+ (2012)
Skills
- Programming: Python, C#, C++, Assembly, JavaScript/HTML/CSS, Bash, R, SQL
- Technologies: Docker, GitHub Actions, CI/CD, Terraform, AWS, Flask, MySQL, Selenium, Splunk, Wireshark, Burp Suite, Ida Pro, Scikit-learn, TensorFlow, PyTorch, Blender, Power BI, Unity, Kali Linux
- Languages: English (Fluent), Spanish (Fluent)
Scholarships
- CyberCorps: Scholarship for Service (2019–2021)
- Claude Shannon Scholarship for Academic Excellence (2018–2019)