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Taylor Brown

@taylorbrown3

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Software Engineer at RoviSys Building Technologies who automated a four-week drawing workflow into 15 minutes.

United States

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What I'm looking for

I’m aiming for a Software Engineer II role based on degree attainment.

At RoviSys Building Technologies, I built and unit-tested a modular Python pipeline that combines drawing sets and change notes into an up-to-date master document. It cut a four-week manual workflow to 15 minutes, and the tools were adopted across a 16-engineer team.

I also developed a Python CLI tool that generates configuration files for Schneider Electric HDPM6000 power meters from IO lists, reducing setup from two weeks to one day. I updated Distech controller code and created AutoCAD-based building layouts for Ignition HMI screens.

At Fayetteville State University, I directed five research projects, including three NASA-supported initiatives in machine learning, computer vision, and robotics. I optimized a multi-view object-matching pipeline for NASA M-STAR multi-robot systems, cutting processing latency by about 35% and improving cross-view matching accuracy by 20%.

During my U.S. Department of Homeland Security ORISE internship, I designed a machine learning framework to backfill missing time-series values, reducing missing data by over 60%. I’m pursuing an M.S. in Computer Science at NC State University and aiming for a Software Engineer II role.

Experience

Work history, roles, and key accomplishments

Systems Engineer Co-op

RoviSys Building Technologies

Jun 2026 - Nov 2026 (5 months)

Built and unit-tested a modular Python pipeline that merges drawing sets and change notes, cutting a 4-week manual process to 15 minutes. Developed a Python CLI tool for generating configuration files for Schneider Electric power meters, reducing setup time from 2 weeks to 1 day.

Python PyMuPDF Regex Openpyxl CSV Unit Testing Autocad Ignition Distech Controls SharePoint

Researcher

Fayetteville State University

Sep 2023 - Jul 2025 (1 year 10 months)

Directed 5 research projects, leading 3 NASA-supported initiatives in machine learning, computer vision, and robotics. Optimized a multi-view object-matching pipeline, cutting latency by 35% and improving accuracy by 20%.

Python PyTorch MaskFormer Mask2Former Docker GitHub Tkinter Computer Vision Machine Learning

Summer Research Intern (ORISE)

U.S. Department of Homeland Security

Jun 2024 - Aug 2024 (2 months)

Designed a machine learning backfilling framework that reduced missing time series values by over 60% and increased usable sensor coverage by 25-40%. Built reproducible Python pipelines for data cleaning, feature extraction, model training, and validation.

Python Machine Learning Data Pipelines Mapbox Geospatial analysis Imputation

74D CBRN Specialist

U.S. Army

Oct 2016 - Jan 2020 (3 years 3 months)

Served as arms room NCOIC, maintaining accountability for $8.1M in weapons systems with zero losses. Led Preliminary Monitoring Team operations and trained 90+ soldiers to Department of Defense standards.

Leadership Training Accountability CBRN Preventive Maintenance