
Over six months, contributed to PolicyEngine/policyengine-us by developing and refining backend systems for tax policy modeling, welfare eligibility, and geographic data processing. Work included implementing Qualified Business Income Deduction improvements, migrating congressional district identifiers, and introducing deterministic eligibility calculations for welfare programs. Applied Python, YAML, and Node.js to enhance data integrity, regulatory compliance, and maintainability, while strengthening CI/CD pipelines and dependency management. Addressed bugs in county and state encoding, expanded test coverage for microsimulation and edge cases, and streamlined data models for accuracy and auditability. The approach emphasized code clarity, reproducibility, and alignment with evolving policy requirements and datasets.
February 2026 monthly summary for PolicyEngine/policyengine-us: Delivered deterministic eligibility calculations by removing stochastic randomness and moving randomness to the data package, simplified the WIC eligibility data model by converting floats to booleans and removing unnecessary draws, and expanded test coverage for Head Start take-up edge cases. Consolidated policy data configuration by removing outdated WIC parameter files and aligning rates in the data package. These changes improve accuracy, reliability, maintainability, and auditability, enabling reproducible testing and faster deployment.
February 2026 monthly summary for PolicyEngine/policyengine-us: Delivered deterministic eligibility calculations by removing stochastic randomness and moving randomness to the data package, simplified the WIC eligibility data model by converting floats to booleans and removing unnecessary draws, and expanded test coverage for Head Start take-up edge cases. Consolidated policy data configuration by removing outdated WIC parameter files and aligning rates in the data package. These changes improve accuracy, reliability, maintainability, and auditability, enabling reproducible testing and faster deployment.
January 2026: Delivered a critical County Enumeration data integrity fix in PolicyEngine/policyengine-us, removing invalid entries and validating against Census 2020 to ensure data accuracy for policy evaluation. The change preserves valid entries with special characters and improves downstream data quality.
January 2026: Delivered a critical County Enumeration data integrity fix in PolicyEngine/policyengine-us, removing invalid entries and validating against Census 2020 to ensure data accuracy for policy evaluation. The change preserves valid entries with special characters and improves downstream data quality.
December 2025 monthly summary for PolicyEngine/policyengine-us focusing on key features, bugs fixed, impact, and skills demonstrated. Highlights include geography-aware tenure_type at the SPM unit level for local calibration, CI/CD hardening and dependency governance, and expanded microsimulation test coverage; plus critical fixes to county period carry-over and StateGroup encoding to improve model correctness and reliability.
December 2025 monthly summary for PolicyEngine/policyengine-us focusing on key features, bugs fixed, impact, and skills demonstrated. Highlights include geography-aware tenure_type at the SPM unit level for local calibration, CI/CD hardening and dependency governance, and expanded microsimulation test coverage; plus critical fixes to county period carry-over and StateGroup encoding to improve model correctness and reliability.
August 2025 monthly summary for PolicyEngine/policyengine-us: Delivered a migration from UCGID to congressional_district_geoid (integer) with test suite simplifications and formatting improvements. This change enhances data integrity for congressional district mappings, reduces test noise, and speeds CI feedback, enabling safer deployments and easier future maintenance.
August 2025 monthly summary for PolicyEngine/policyengine-us: Delivered a migration from UCGID to congressional_district_geoid (integer) with test suite simplifications and formatting improvements. This change enhances data integrity for congressional district mappings, reduces test noise, and speeds CI feedback, enabling safer deployments and easier future maintenance.
June 2025 — PolicyEngine/policyengine-us: KEY DELIVERABLES include QBID calculation improvements aligned with updated tax regulations, SSTB handling, phase-ins, limits, and cross-cycle parameter updates; refactors simplify QBID: removing qbid_amount and reintroducing qbi_deduction_amount; TCJA parameters reintroduced; tests and data updated. This work improves regulatory compliance, accuracy, maintainability, and business value by enabling reliable tax computations under evolving rules and reducing risk of incorrect deductions across cycles.
June 2025 — PolicyEngine/policyengine-us: KEY DELIVERABLES include QBID calculation improvements aligned with updated tax regulations, SSTB handling, phase-ins, limits, and cross-cycle parameter updates; refactors simplify QBID: removing qbid_amount and reintroducing qbi_deduction_amount; TCJA parameters reintroduced; tests and data updated. This work improves regulatory compliance, accuracy, maintainability, and business value by enabling reliable tax computations under evolving rules and reducing risk of incorrect deductions across cycles.
In May 2025, PolicyEngine/policyengine-us delivered substantial QBID/QBI improvements, robust uprating fixes, and key maintenance work that enhanced accuracy, performance, and maintainability for tax form preparation pipelines. The work focused on business value—ensuring precise QBID calculations, comprehensive test coverage, and cleaner, more maintainable code—while laying groundwork for future tax year readiness.
In May 2025, PolicyEngine/policyengine-us delivered substantial QBID/QBI improvements, robust uprating fixes, and key maintenance work that enhanced accuracy, performance, and maintainability for tax form preparation pipelines. The work focused on business value—ensuring precise QBID calculations, comprehensive test coverage, and cleaner, more maintainable code—while laying groundwork for future tax year readiness.

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