Ben Yamin
I am a seasoned software engineer specializing in building scalable full‑stack applications.
About
I am a seasoned software engineer specializing in building scalable full‑stack applications. I’ve led efforts to modernize legacy systems, replacing Flask templates with React frontends and Python-based REST services to improve performance and reliability, especially in healthcare platforms. I enjoy designing secure authentication flows, implementing data pipelines, and driving CI/CD improvements with tooling that smooths deployments. I value clean architecture, cross‑functional collaboration, and shipping user‑centric features that have real-world impact.
I thrive in fast-paced environments, enjoy mentoring teammates, and am motivated by building robust, data‑driven products. My focus is on delivering maintainable code, improving backend performance, and creating intuitive interfaces that empower users to accomplish more with less friction.
- 6 years' experience
- Joined December 2025
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Professional Services
- Healthcare
- Education
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Work experience
Rebuilt a legacy patient portal using a modern React interface and Python-based REST services, boosting response times by about 40% and increasing platform stability across devices. Designed secure authentication and session flows with React Query and Redux, and introduced reusable components to accelerate feature delivery. Automated the release process with GitHub Actions and Docker, reducing deployment overhead by nearly 30%. Also developed Python scripts to process around 70,000 medical text records, improving backend search accuracy by about 20% and enabling data-driven enhancements to user-facing tools.
Modernized internal dashboards by replacing outdated Flask templates with a React frontend and a FastAPI backend, boosting load time by around 45%. Built Python-based ETL scripts to structure over 120,000 operational records and support analytics and reporting features. Created Python data preparation workflows for around 40,000 onboarding profiles to support verification and fraud scoring features. Automated backend checks that reduced manual review time by more than 20% and improved overall stability of the verification flow. Strengthened experience in Python backend development, frontend interfaces, and data-driven tooling.
Education
Certifications and awards
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