# Naylle Pando

> Software Engineer @ MatrixSpace | VT Alum

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/naylle

## Work Experience
### Software Engineer @ MatrixSpace
Jan 2026 – Present | Boston, Massachusetts, United States

### Intermediate Systems Engineer @ MITRE
Jan 2024 – Jan 2025 | Boston, Massachusetts, United States
Designed and implemented application demonstrations across high-impact use cases, including video surveillance, technical remote assistance, blue-force tracking, and facial recognition, leveraging AWS, open-source tools, and 5G / MEC infrastructure to accelerate innovation and mission readiness.
Engineered software solutions to monitor, analyze, and visualize incoming network data across multiple devices, enhancing visibility into location, connectivity status, bandwidth usage, and overall throughput efficiency.
Developed web platform using Apache Web Server and React to synthesize publicly sourced data into Domestic Terrorism and Targeted Violence Index, providing insights to violence prevention.
Evaluated hands-free technology through Human-Computer Interaction (HCI) testing of Apple Vision Pro, HoloLens 2, Vusix, and Ray-Ban Meta devices, contributing to field-ready solutions for frontline agents.
Earned multiple honors, including Catalysts Awards, Trailblazer Award, and recognition from Sponsors and C-Suite leaders, within first 14 months, demonstrating rapid impact and organizational value.

### Associate Systems Engineer @ MITRE
Jan 2023 – Jan 2024 | McLean, Virginia, United States

### CSH Computer Science Intern @ MITRE
Jan 2022 – Jan 2023 | McLean, Virginia, United States
- Assisted in the development of enterprise systems mission under MITRE's Center for Securing the Homeland
- Managed data from unmanned cameras with movement notification and applied AI/ML libraries for facial and object detection Built software solutions to manage data from unmanned cameras, triggering movement notifications and integrating AI/ML libraries using TensorFlow-backed libraries for facial and object detection.
Assisted in development of AWS SES-based Cloud server and created software to process JSON files and manipulate EXIF metadata, enhancing data handling.
Designed and deployed APIs to operationalize machine learning models, leveraging Docker for containerization and scalable deployment across environments.
- Assisted in the development of an AWS SES Cloud server and developed Email file processing and metadata manipulation software


## Education
### General Engineering in Computer Science
Virginia Tech College of Engineering


## Contact & Social
- LinkedIn: https://linkedin.com/in/naylle

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Source: https://flows.cv/naylle
JSON Resume: https://flows.cv/naylle/resume.json
Last updated: 2026-03-28