April 2026 (mitodl/mit-learn): Implemented PostHog event tracking for user interactions to enhance analytics capabilities. The instrumentation covers engagement with course and program enrollment buttons, CTAs, and key UI components (UAIAnnouncementCard and UniversalAIBanner). Tests were added and labels refined; tracking code was updated to remove resourceType where applicable and to mock enrollment POSTs for reliable tests. No major bugs fixed this month for this repo. Impact: enables data-driven product decisions, improves visibility into user funnels, and establishes a foundation for future analytics experiments. Technologies/skills demonstrated: PostHog integration, analytics instrumentation across frontend/backends, test-driven development, label and test hygiene.

2026-01 monthly summary: Delivered a new Dagster code location for student_risk_probability to enhance the data pipeline's ability to assess and manage student risk factors within mitodl/ol-infrastructure. This enables more accurate risk scoring and informs downstream processing. Also applied automated pre-commit fixes to improve code quality and maintainability across the repository.

November 2025 (mitodl/ol-infrastructure) – Key feature: B2B Organization Module Integration in Dagster Pipeline Configuration. This work adds the b2b_organization module to the Dagster pipeline, enabling B2B operations and improved organization/management of B2B tasks within deployments. Helm deployment config was updated to surface the new code location, ensuring seamless rollout of the B2B module. No major bugs fixed this month; the priority was robust feature delivery and alignment with deployment tooling. Impact: enables scalable B2B workflows in production, reduces manual configuration, and improves task governance. Technologies demonstrated: Dagster pipeline configuration, Helm deployments, YAML-based configuration, code modularization, and cross-team collaboration.

Month: 2025-05 — Mitigate learning platform: mit-learn. Key accomplishment this month was delivering event instrumentation for user account creation to strengthen analytics and decision-making around user acquisition. The work focused on instrumenting PostHog via the Apisix middleware to capture when a new account is created, including relevant user details and the current URL to support funnel analysis and onboarding optimizations. No major bugs were reported or fixed in this period. This aligns with product goals to quantify sign-ups, understand acquisition paths, and drive data-driven improvements.