Work
Featured story
Healthcare — Four hours a day, gone.
Before
A healthcare team needed legally required daily reports. Building them meant pulling data from an external system and legacy internal tools—then stitching everything together by hand.
The tension
The work was repetitive, error-prone, and expensive: about four hours of skilled labor every day just to stay compliant. There was little visibility into whether runs succeeded until someone noticed a missing email.
What I did
I designed a dependable pipeline: pull the required data on a schedule, assemble the report automatically, and deliver it to stakeholders—three times a day instead of one fragile manual pass.
After
The manual reporting burden dropped to effectively zero. The organization gained a predictable rhythm and clearer operational signals because the report now ran on a clock—not on someone’s calendar.
Results
- Manual effort reduced from ~4 hours/day to ~0
- Reporting cadence increased to 3 automated runs per day
- Clearer signals when a run succeeded or needed attention
More case studies
Same focus: what changed for the business, with metrics you can feel.
Distribution — Three systems, one promise to the customer.
First-contact resolution improved because agents stopped chasing updates. Operations could see spikes earlier and respond before they became reputational issues.
Results
- Fewer escalations caused by “unknown status”
- Faster answers on the phone and chat during peak weeks
- Less manual reconciliation between teams at month-end
Retail — Promotions worked—until the system didn’t.
Peak week stayed boring in the best way: fewer timeouts, calmer support, and a short list of next bets ranked by impact for the next cycle.
Results
- Checkout stayed responsive through the highest traffic window
- Support tickets related to checkout errors dropped materially
- A ranked backlog replaced guesswork for the next performance pass
More projects
Additional client and personal work—expand as case studies are ready.
Daily reporting burden reduced from hours to a dependable automated cadence
~4h → 0
Manual reporting / day
3×
Automated runs / day
Customer-facing status timelines aligned across teams—fewer “unknown” escalations
↓
Unknown-status escalations
↑
First-contact resolution
Checkout stayed stable through the highest traffic window of the year
Peak
Traffic window held
↓
Checkout-related tickets
Bilingual personal site with SSR, i18n, and a contact pipeline—built to ship and iterate
Complex price lists and approvals stopped blocking same-day quotes
Recurring close assembly cut from a multi-day scramble to a scheduled package
Developer utilities and integration helpers—[TBD] repositories to highlight