Rev Obrera is a Bioinformatics Manager with over a decade of hands-on experience building secure, scalable Python-based informatics systems for clinical genomics and laboratory workflows. He specializes in centralizing heterogeneous laboratory data into Docker-deployed aggregator platforms and embedding OWASP-driven secure coding and static analysis into the SDLC. Throughout his tenure at BioReference Laboratories he led NGS pipeline development, LIMS integrations, and vulnerability remediation efforts using tools like Tenable, SonarCloud, and SentinelOne, while contributing to network segmentation and Linux hardening for legacy infrastructure. Holding an MS in Computer Information Systems with applied cybersecurity training from MIT, he blends domain knowledge in molecular diagnostics with practical security engineering. A practical innovator, he also designed asynchronous analyst UIs and automated error-tracking to keep production genomics pipelines reliable and compliant.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Science Informatics, concentration in Biochemistry, Bachelor of Science - BS, Science Informatics, concentration in Biochemistry at Montclair State University
Professional Education, Applied Cyber Security, Professional Education, Applied Cyber Security at Massachusetts Institute of Technology
Master of Science - MS, Computer Information Systems, concentration in Application Development & Enterprise Cyber Security, Master of Science - MS, Computer Information Systems, concentration in Application Development & Enterprise Cyber Security at Boston University
This web application allows users to generate the lineage of Stellar addresses and visualize them in a radial, tidy tree format. The tree maps address types and activity, providing a clear and organized view of the relationships between addresses.
Contributions:493 commits, 652 PRs, 798 pushes in 1 month
radialreactlineagevisualizejavascript
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