Garret Noble

Software engineer with 5+ years experience developing data-intensive applications for scientific domains. Expertise in distributed systems, message queues, database design, and full-stack development. Proven success bridging laboratory research with production-grade software solutions for genomics and scientific computing.

Technical Skills

Programming Languages

• JavaScript/Node.js
• Python (NumPy, SciPy, Pandas, SQLAlchemy)
• SQL (SQLite)
• Ruby
• D
• C

Tools & Frameworks

• Message Queues: Apache Pulsar, Kafka
• Web Frameworks: Fastify
• Databases: ArangoDB, SQLite
• Version Control: Git
• CI/CD: GitLab
• Project Management: Jira
• Template Engines: EJS

Data Analysis & Scientific Computing

• R
• MATLAB
• Statistical Modeling
• Data Pipeline Development

Operating Systems

• Linux/Unix
• Windows
• macOS

Experience

Baylor College of Medicine

Software Engineer (September 2022 - March 2025)

• Designed and implemented distributed message queue systems using Apache Pulsar for clinical genomics applications
• Developed persistent storage solutions using SQLite and better-sqlite3 for message queue reliability
• Created RESTful APIs with Fastify framework for clinical genomics data access and visualization
• Implemented AQL queries and database operations for ArangoDB in genomic data processing pipelines
• Built web interfaces using EJS templates for clinical data visualization and reporting
• Contributed to multiple projects in a large Node.js mono-repository architecture
• Implemented comprehensive testing strategies including unit, integration, and end-to-end tests

Uncountable

Software Engineer (November 2021 – August 2022)

• Developed Python data pipelines for transforming raw instrument data into structured formats
• Implemented SQL database solutions for scientific data storage and retrieval
• Designed automated report generation system using Python PDF libraries
• Maintained and improved core application functionality through bug fixes and feature development

ExxonMobil Chemical

Technologist (July 2017 – July 2021)

• Created signal processing algorithms in R for polymer characterization
• Developed Ruby-based tools for comparative analysis of material samples
• Collaborated with researchers to implement analytical workflows

Albemarle Corporation

Research Technician (March 2016 – July 2017)

• Built MATLAB application for catalyst performance analysis and visualization

Education

University of Houston

Bachelor of Science in Chemistry - May 2014

• Minored in Energy and Sustainability