• Lead software engineering, DevOps, QA, and bioinformatics engineering, reporting to VP, Data Science, with regular communication with executive team and management of $3M budget • Architected and implemented cost-effective cloud system, utilizing AWS, Databricks, Nextflow, and Python to support bioinformatics and ML, replacing expensive third-party solution without ML capabilities and data accessibility, providing a foundation for R&D, enabling the creation of multiple products, and facilitating seamless commercialization through rapid iteration using ML• Built six-person technical and managerial team, including writing job descriptions and overseeing hiring• Directed build-out of single, IVD level quality management system (QMS), overseeing SDLC, cybersecurity compliance, and data privacy, including HIPAA and GDPR readiness, ensuring compliance with IEC 62304, ISO 13485, ISO 27001, and 21CFR820, and supporting CAP/CLIA readiness activities, avoiding bureaucratic challenges of multiple QMS

• Managed team of 30 engineers, ten project managers, and five technical writers leading software architecture, software verification, and software systems engineering for kitted IVD products• Led DevOps team of 10+ and provided project management support to distributed technical teams of 20+ personnel• Managed software development, utilizing AWS, Python, Docker, and Django, enabling the integration of comprehensive genetic information into mainstream medicine through the first CE-IVD cancer testing kits, contributing to early access launch of the personalized cancer monitoring (PCM) product opening early access to liquid biopsy-based PCM as a central laboratory service

• Built key elements of PCM product (bioinformatic pipeline architecture) to release multiple products, including ArcherMET CDx, created in partnership with Merck and released and approved in Japan by PDMA, with pipeline platform instrumental to Invitae’s acquisition of ArcherDX • Built 15+ team of individual contributors and managers overseeing systems engineering, software architecture, test automation, and verification • Architected and implemented pipeline platform utilizing Docker, RPM, Jenkins, AWS, and Terraform to enable multiple configurations of core bioinformatic components and automation of design controls and software verification, allowing launch of the ArcherMET project for non-small cell lung cancer treatment in Japan• Oversaw creation and implementation of AWS architecture for ArcherMET and acted as SME on architecture for complex Django applications • Provided project management support for 20+ member distributed technical teams• Through effective project management, architecture, and hiring leadership, developed comprehensive SDLC process in compliance with IEC 62304, ISO 13485, and ISO 14971, leading to successful U.S. PMA and PMDA submissions, with no significant software deficiencies enabling ongoing commercial support for multiple products on a unified platform

• Wrote job descriptions, hired, and trained team of four software engineers • Designed versatile test automation platform, utilizing CentOS, Python, and Django-based applications using Selenium, for regression and validation of Archer AMP assay (Illumina/Ion Torrent), accelerating testing processes, reducing escape defects, and avoiding slowdowns with ability to build multiple products on a single platform• Directed development of automation platform for system and regression testing for primer design platform to build physical assay, providing assurance for software used to design Archer’s essential products• Built DSL, using Python, for declarative test cases to test bioinformatic pipeline

• Designed and developed automated system for generating molecular biosensors• Published, “Conformational design optimization of transcription factor beacon DNA biosensors,” Dec 2014, Sensing and Bio-Sensing Research