2024: Partial off‑Stripe payment support for Invoicing — shipped. Designed and delivered Bill‑collection operations (initialize/attempt collection) integrated with invoice finalization, enabling correct partial payments, credits, and adjustments.

2025: Platform team rotation: Metrics Collector Reliability. Refactored the metrics scraper for HA deployments: parallelized collection, added etcd leader election, and moved to server‑based metrics—reducing the worst‑case metrics gap from 7+ minutes → <30 s (often ~10 s) and unlocking actionable alerting on platform health.

2020: Led billing design for a new tax-reporting product: defined metered 1099 e-file/mailed usage, built rate-card modeling (per-merchant pricing, FX rules), and added end-to-end usage auditability. Built IRS e-file and third-party mail integrations with rate-limit/backoff and delivery observability (queue depth, state transitions, per-platform health).

2021: Launched Observability ahead of peak: delivered 19 Jira items, 25 Splunk/SignalFx dashboards, ~10 detectors, ~5 runbooks; caught issues pre-customer and strengthened SLOs. Partnered with Security/Cloud/Dev Prod to harden CI/CD and OCI images; improved release gates and image policies.

2022: Owned reliability for Billing’s primary async system: migrated to Kubernetes, authored HADR, and load-tested for BFCM, yielding a zero-incident holiday. Cut noise and cost by retiring the noisiest detector, right-sizing workers, and moving storage to AWS EBS. Raised quality via snapshot testing and codified Ruby testing practices.

2023: Project lead for invoice modularity: replaced finalization computations with modular, collections-based primitives powering 100% of invoice amount calculations (millions/day); removed redundant discount logic to save ~10 ms/finalization. Prime contributor to Lock Decomposition: reduced lock contention/incidents, fixed lock-ordering issues affecting Quote accuracy, and published a rollout playbook with Trino/SignalFx/Splunk dashboards used across Quotes, Subscriptions, Schedules, and Invoices. Tightened architecture with package-dependency ratchets and gate-usage metrics (dashboards + PR signals); shipped safety dashboards; coached engineers via 1:1s/pairing to land safe, reversible rollouts. Ran a Test Clock gameday: orchestrated load/chaos, validated detectors, patched Temporal fault injection, and sustained ~50 RPS on critical paths pre-traffic.

Aided students in debugging assignments that covered topics in topics such as Cache Geometries, C Data structures, C++ classes and inheritance, and other Systems Programming concepts. Created teaching materials on topics such as Functional, Object-Oriented, and Logic programing in Racket, Haskell, Ruby, and Prolog.

Modularizing an existing Kubernetes service written in Scala with Envoy service mesh. Created a Prometheus dashboard for monitoring key operating metrics

Developed extensive web scraping infrastructure in Python to extract article-level meta-data of over 20,000 articles in over 20 potentially predatory journals. Created data visualizations in matplotlib and ggplot2, bash scripts for subsetting data, and pandas data analysis to analyze the topics of conversation in Twitter datasets of 10’s of 1000’s of tweets. Presented my work at the UW Undergraduate Research Symposium and departmental capstone events.