# Matthew Carpenter > Senior Software Engineer | Co-Founder Location: Boise Metropolitan Area, United States Profile: https://flows.cv/matthewcarpenter Versatile software engineer with 10+ years of experience spanning backend systems, cloud infrastructure, and data pipelines. Co-founded an AI-powered industrial monitoring startup and delivered high-impact engineering work at Amazon, Comcast, and Intuit. Holds ACAS and CSPA actuarial designations, with a proven ability to rapidly master new domains and complex technical requirements. Seeking roles in backend software engineering, cloud architecture, and DevOps. ## Work Experience ### Senior Software Engineer @ Blues Wireless Jan 2022 – Jan 2024 | Boston, MA • Designed and implemented data storage and retrieval software for embedded wireless IoT devices, enabling reliable communication across large device fleets. • Developed continuous data ingestion integrations from the Blues Wireless platform into Snowflake, heavily utilizing AWS services including S3, SQS, and IAM roles. • Architected and deployed CI/CD pipelines using GitHub Actions to automate and streamline application deployments. • Engineered automated integration testing frameworks against staging environments to validate performance and reliability directly on live embedded devices. • Independently managed client relationships, translating technical requirements into custom software solutions that met client-specific needs. • Led technical hiring process: sourced, interviewed, and onboarded software engineers, contributing to team growth. ### Software Engineer @ Comcast Jan 2023 – Jan 2024 | Philadelphia, PA • Developed backend systems in Go for Comcast’s customer-facing ISP speed test platform, integrating multiple internal services into a cohesive data pipeline. • Designed and implemented a streaming-based data loading architecture, replacing a bulk-load approach and significantly improving system throughput and efficiency. • Integrated CouchDB (NoSQL) for scalable, low-latency data persistence supporting high-volume test metrics. • Wrote and maintained comprehensive test suites to ensure reliability and correctness of backend services. ### Software Engineer @ Intuit Jan 2023 – Jan 2023 | Mountain View, CA • Contributed to an in-house incident management and alerting platform that monitored production services via API health checks and triggered automated incident response workflows. • Implemented integrations with external APIs including Slack and Zoom to automatically create dedicated incident channels and meetings upon detection of service failures. • Developed email and SMS notification pipelines to alert on-call engineers of critical system events. • Leveraged AWS cloud services to support platform infrastructure and event-driven workflows. • Wrote extensive automated test coverage and resolved bugs to improve platform stability and reliability. ### Software Engineer @ Amazon Jan 2022 – Jan 2023 | Seattle, WA • Built backend functionality in Go for an internal CLI tool enabling researchers to rapidly provision high-performance compute environments in AWS, purpose-built for genomics and bioinformatics workloads. • Implemented data transfer pipelines to efficiently ingest and manage large-scale biological datasets (DNA/RNA) into cloud-based compute environments. • Contributed to a productivity-focused developer tool that abstracted complex AWS infrastructure, reducing friction for scientific computing teams. ### Co-Founder and Lead Developer @ Canopy Vision Jan 2019 – Jan 2022 | Tampa, FL • Co-founded an AI-driven industrial monitoring startup, leading a team of two engineers and providing technical guidance to the CEO. • Architected and built a full-stack intelligent video streaming platform using Go, React/TypeScript, Python, and C/C++. • Built and maintained scalable machine learning model training pipelines leveraging Google Cloud infrastructure. • Designed and trained convolutional neural network (CNN) image recognition models and deployed them for real-time inference on live video streams from ruggedized industrial cameras. • Delivered ML-powered monitoring solutions for high-stakes industrial environments including mining operations and chemical processing plants, enabling automated visual inspection and real-time condition alerts. • Developed an ML model that analyzed the chemical composition of extracted rock samples from live video, replacing a manual lab-testing process and improving operational efficiency for a mining client. • Oversaw embedded systems programming, system administration, and network configuration for edge-deployed camera hardware. ### Backend Software Engineer @ Standard Computing Jan 2019 – Jan 2020 | Tampa, FL • Developed RESTful APIs in Python (Django framework) for a custom inventory management web application. • Managed data persistence using PostgreSQL; deployed and containerized application stack using Docker and Heroku. ### Pricing Analyst @ American Integrity Insurance Company Jan 2018 – Jan 2020 | Tampa, Florida • Performed actuarial pricing and loss reserving analysis for Florida personal lines insurance products, ensuring rate filings met state regulatory requirements. • Built predictive models using R and Python on large insurance datasets to support rate-setting and risk segmentation. • Conducted data extraction, transformation, and analysis using SQL to support pricing decisions and regulatory submissions. ### Actuarial Intern @ American Modern Insurance Group Jan 2017 – Jan 2018 | Cincinnati, Ohio • Supported actuarial pricing team with data analysis, rate development, and modeling tasks. • Gained foundational experience in actuarial methods and insurance industry workflows. ### Math Instructor @ California State University-East Bay Jan 2016 – Jan 2016 | Hayward, CA • Instructed multiple undergraduate mathematics courses ### Sergeant, Logistics @ United States Marine Corps Jan 2008 – Jan 2012 | Twentynine Palms, CA • Served honorably for four years, including combat deployments to Iraq and Afghanistan. • Managed supply chain logistics and coordinated resupply convoys in active operational environments, ensuring mission-critical resources reached forward units under pressure. • Led a four-person logistics team, demonstrating leadership, accountability, and composure in high-stakes situations. ## Education ### Bachelor’s Degree in Applied Mathematics University of California, Berkeley Jan 2013 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/matthewrcarpenter --- Source: https://flows.cv/matthewcarpenter JSON Resume: https://flows.cv/matthewcarpenter/resume.json Last updated: 2026-03-29