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.
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.
2023 — 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.
2023 — 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.
2022 — 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.
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.
Education
2013 — 2015
University of California, Berkeley
Bachelor’s Degree
2013 — 2015