- 📍 Camas, WA
- 📞 +1-509-713-2325
- 📧 tucker.beck@gmail.com
- 🛠 dusktreader@github
I'm a results-driven engineer that's spent the last 15 years delivering products in critical environments, including data-intensive backends, high risk med-tech, highly classified research, and complex HPC stacks. I tackle challenges with a blend of pragmatism and innovation informed by years of experience and driven by a tenacious spirit. I am a leader that's dedicated to fostering a culture of collaboration and continuous improvement. I thrive in environments where partnership, excellence, and accountability are at the core of everything we do.
- Languages: Python, Go, TypeScript/JavaScript, Perl, Java, C, C++, Erlang
- Technologies: FastAPI, Kubernetes, Slurm, Angular, Docker, SQLAlchemy, Spark, Postgres, OpenCV
- Platforms: ClickUp, JIRA, Lucid, Slack, Teams, Google Workspace
- CKAD: 2024
- armasec: OIDC Security for FastAPI
- flask-praetorian: Strong, simple Flask security
- py-buzz: Exception toolkit for Python
- smart-letters: AI assisted cover letter composition
- jobbergate: Slurm remote job control framework
July 2021 - February 2025: Omnivector Solutions
- Improved efficiency by developing and documenting comprehensive engineering processes and successfully migrating project management to ClickUp.
- Increased team accountability and streamlined development workflows by establishing SCRUM-based methodology and measuring efficiency improvements.
- Directed the development of the Vantage HPC SAAS platform from ideation through public release.
- Established standards and practices for development teams including git branching model, code quality baselines, and documentation requirements.
- Fostered a culture of continuous improvement by conducting regular one-on-one meetings and performance reviews to monitor and optimize team dynamics.
- Built Armasec OSS Auth package to enable security for Python APIs backed by OIDC providers including Auth0 and Keycloak.
March 2019 - July 2021: Office Ally
- Piloted the integration of lab reports and processing statuses from a genomic testing venture project into Patient Ally.
- Developed an event-driven architecture using Kafka to manage the flow of genomics data throughout cross-platform ecosystem.
- Revised Sprint Retrospective meetings to focus team engagement, reflect on improvements, and promote positive feedback.
- Successfully transitioned to Team Lead during high turnover improving individual performance and redirecting team on new product roadmap.
- Re-designed Patient Ally Messaging section from scratch into a familiar email-like subsystem including contacts, attachments, and conversation oriented interface.
- Led the effort to rewrite legacy front-end from Django to Angular, introducing modern best practices and reactive user experience; mentored junior developers on the team.
November 2012 - March 2019: Comscore
- Architected mission critical internal system for record linkage to enable data aggregation across disparate subsystems of Comscore.
- Developed flexible graph-like data schema in Postgres to support heterogeneous data models in a single, large metadata store.
- Implemented ETL pipeline to consume and normalize multi-format data from a wide range of sources including S3, FTP, and external databases.
- Designed scalable recommendation engine using Spark to deliver aggregated link recommendations utilizing multiple, independent matching algorithms.
- Mentored junior engineers, providing guidance on best practices and fostering a culture of continuous learning.
July 2008 - November 2012: Battelle
- Modernized APBS biomolecular research app by translating legacy FORTRAN code to ANSI C and migrating version control to Git.
- Collaborated on human tracking in high-bandwidth video streams, transitioning research code from MatLab to C++ and designing a distributed computing platform.
- Researched and developed object detection and classification methods in gigapixel images, utilizing various machine learning techniques.
- Developed a novel hybridization of a Self-Organizing Map with an Artificial Neural Network to classify images by structural signature of sub-features.
September 2004 - May 2008: Washington State University
- Graduated Cum Laude
- Focused on Scientific Computing, Machine Learning, and Parallel Computing