I'm Anna, a fast learner and detail-oriented software engineer with a background in healthcare and computer science. I enjoy building scalable, data-driven solutions and collaborating across teams to ship impactful results. I thrive in remote and fast-paced environments, adapt quickly to new tech stacks, and prioritize code quality, testing, and CI/CD. My experience spans large-scale datasets, GIS workflows, and healthcare systems, combining analytical thinking with user-centered design.

Anna

I'm Anna, a fast learner and detail-oriented software engineer with a background in healthcare and computer science. I enjoy building scalable, data-driven solutions and collaborating across teams to ship impactful results. I thrive in remote and fast-paced environments, adapt quickly to new tech stacks, and prioritize code quality, testing, and CI/CD. My experience spans large-scale datasets, GIS workflows, and healthcare systems, combining analytical thinking with user-centered design.

Available to hire

I’m Anna, a fast learner and detail-oriented software engineer with a background in healthcare and computer science. I enjoy building scalable, data-driven solutions and collaborating across teams to ship impactful results.

I thrive in remote and fast-paced environments, adapt quickly to new tech stacks, and prioritize code quality, testing, and CI/CD. My experience spans large-scale datasets, GIS workflows, and healthcare systems, combining analytical thinking with user-centered design.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Associate Software Engineer at University of Pittsburgh Medical Center Enterprises
February 1, 2024 - Present
Built Python and MySQL data generation scripts to simulate edge cases for a Telecare system. Wrote automated Vitest tests using generated data sets to improve reliability. Applied Scrum methodology with Jira, contributing to health care system discussions, triage, patient engagement, and EMR/PHI insights.
Assistant Research Engineer at Johns Hopkins School of Medicine
June 1, 2023 - August 1, 2023
Analyzed behavioral data across six months using Python, supervised machine learning, and Scikit-Learn; demonstrated the impact of experimental training on reward-retrieval latency.

Education

B.S. in Computer Science; B.S. in Neuroscience at Johns Hopkins University
August 1, 2019 - December 1, 2023

Qualifications

SAFe 6 Practitioner
January 1, 2025 - January 20, 2026

Industry Experience

Healthcare, Software & Internet, Professional Services, Education, Other