Tucker Beck Resumé

Experience

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.

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.

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.

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.