Sumi Nia Means
Data Engineer @Thoroughcare
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WORK HISTORY
Data Engineer @Thoroughcare
Thoroughcare is health tech company that builds care coordination software serving 600+ clinics and healthcare practices nationwide. The platform enables value-based care programs including CCM, RPM, TCM, AWV, and behavioral health integration. Own data quality across all client-facing analytics dashboards (care management, revenue, behavioral health, device readings, etc.) serving 600+ healthcare organizations Building the automated customer onboarding pipeline projected to reduce onboarding time from ~2 hours of manual work per client down to ~10 minutes Manage full Qlik Cloud multi-tenant architecture across production and staging, including provisioning, reload scheduling, license automation, and tenant documentation Refactor SQL extraction queries across multiple data layers to optimize pipeline performance for analytics serving thousands of patient records Build internal automations for data reloads, API key rotation, and infrastructure maintenance to reduce manual engineering overhead Resolved 5+ production defects through cross-team QE regression testing and defect tracking since November 2025 Contributing to large-scale analytics overhaul across care plans, RPM, outreach, clinical data, and quality metrics while evaluating Datadog for observabilitySQL(Postgres)| Python | Qlik Cloud | AWS | Datadog | CrunchyData
EDUCATION
University of South Carolina
Bachelor of Applied Science - BASc, Biochemistry and Molecular Biology
U.S. Department of Labor – Data Analytics Apprenticeship
Computer Programming, Specific Applications
Joy of Coding Technical Bootcamp
Computer Science
ABOUT SUMI NIA MEANS
I earned my degree in biochemistry, spent 10 years in patient care, and now build AI tools that make healthcare systems faster, cleaner, and less chaotic.Today, I work across public-sector data like CMS claims, EHRs, and NLP pipelines, using Python, SQL, and prompt engineering to solve real-world problems. I’ve helped modernize CMS audits with LangChain + Neo4j, built a deep learning tool for diabetic retinopathy, and automated CPT/ICD validation with Python.I’m also a certified apprentice in AI and data analytics through the U.S. Department of Labor, focused on LLMs, NLP, and federal healthcare systems.What sets me apart is domain fluency. I know the pain points: billing codes that don’t match, denial letters that don’t make sense, and workflows that just don’t work, because I’ve lived them. Now I build systems that fix them.Recent work includes:→ Prompt engineering for CMS fraud detection (30% more audit accuracy)→ Tableau dashboard tracking medical debt in 2,800 counties→ NLP tools for unstructured EHR data and care coordinationOpen to entry-level to mid-level roles in:→ Healthcare AI / LLMs→ Public-sector health data (CMS, VA, HHS)→ EHR and claims optimizationLet’s connect if you\'re building tech that improves care delivery or just trying to make healthcare a little less painful!
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