
Incoming Network Engineer at Lumen Technologies. Full-stack software engineer specializing in machine learning, cloud, and security. NASA L'SPACE researcher and L3Harris machine learning researcher.
WHERE I'VE WORKED

LUMEN TECHNOLOGIES
Joining the enterprise network team to support SD-WAN deployment and firewall management across large-scale telecom infrastructure serving Fortune 500 clients.
Focused on network security operations, infrastructure automation, and Fixed Wireless Access systems in a production telecommunications environment.

NASA L'SPACE NPWEE
Designed and proposed an autonomous Mars rover system using 360-degree AEOS cameras and reinforcement learning for continuous terrain mapping without Earth command center intervention, presented to NASA engineers.
Engineered LIDAR-integrated navigation architecture with onboard decision-making, reducing mission cost and weight while eliminating signal-delay downtime through autonomous path planning.

PURDUE DATA MINE — L3HARRIS
Built ML models achieving 98% accuracy for real-time satellite telemetry anomaly detection, integrating threat detection and encrypted communications analysis mapped to SPARTA and MITRE ATT&CK frameworks.
Engineered secure data pipelines processing multi-GB time-series datasets from embedded aerospace systems, collaborating directly with L3Harris engineers on production-ready satellite security monitoring.

COOLER BLAST — UNC
Led Smart Transit Greeley — developed route optimization algorithms analyzing commuting patterns across 114,000+ residents, with ML models projecting up to 33% reduction in urban CO2 emissions.
Delivered data-driven policy recommendations directly to the Greeley City Council, translating computational findings into actionable public transportation strategy.
SELECTED WORK
ML systems, security research, and data engineering at scale.
NFL Stats Prediction Model
0% prediction accuracy on NFL player performance using ensemble ML pipeline trained on 5 years of historical stats. XGBoost and deep neural network models combined via stacking. Accelerated training 0x from 6 hours to 45 minutes using NVIDIA GPU parallel computation with TensorFlow CUDA backend.
Smart Transit Greeley
Urban transit optimization system for 0,000+ residents. Built ML models simulating ridership behavior and route efficiency, projecting 0% CO2 reduction through data-driven restructuring. Findings presented as actionable policy recommendations directly to the Greeley City Council.
Satellite Telemetry Anomaly Detection
Real-time anomaly detection system achieving 0% accuracy on satellite telemetry streams. Processed multi-GB time-series datasets from embedded aerospace sensors through secure pipelines mapped to SPARTA and MITRE ATT&CK threat frameworks. Built in direct collaboration with L3Harris defense engineers.
WHAT I WORK WITH
LANGUAGES
ML & DATA SCIENCE
SECURITY & NETWORKING
CLOUD & TOOLS
CREDENTIALS
AWS CLOUD PRACTITIONER
AWS CLOUD PRACTITIONER
- Cloud Architecture
- AWS Core Services
- Security & Compliance
- Billing & Pricing
SECURITY+
SECURITY+
- Threat Analysis
- Network Security
- Cryptography
- Risk Management

GET IN TOUCH
Connect
Education
- University of Colorado Boulder
- B.S. Computer Science
- Minor: Cybersecurity
- GPA: 3.8 | May 2028
Certifications
- AWS Cloud Practitioner
- CompTIA Security+
Currently
- NASA L'SPACE Researcher
- Purdue Data Mine
- Incoming @ Lumen
Location
- Denver, CO
- Open to Remote
- Available Summer 2026