Led engineering projects on the hardware team, integrating our partner's hardware with our backend, to make our carsharing offering more reliable and give company more opportunities.

• Reduced operating expenses by an estimated $100k+ per year by optimizing the rental flows.

• Lead engineer on a GPS accuracy improvement feature using Django and iOS. Analyzed test data,

created algorithms, designed and implemented the APIs, and kept stakeholders informed.

• Reviewed code changes and product proposals.

• Investigated and raised SEV1 incidents as part of the hardware team on-call rotation.

Hybrid hardware SME and data team engineer, analyzing data and drawing conclusions to better understand our software and our customers.

• Traveled to customer sites to educate their executives on the technical details of the hardware solution.

• Empowered other teams by teaching classes on the hardware.

• Demonstrated machine learning (clustering) could identify habitual customers based on the time of

day and where they started and ended their rentals.

• Created dashboards for accounting so they could accurately charge customers.

• Wrote a data pipeline recorder so that we can create alerts on specific data pipeline events.

Relentlessly debugger and occasional bug fixer, meeting with customers to understand their pain points and set realistic expectations for them.

• Earned the company Honey Badger award for “unmatched tenacity delivering great results for a customer or Ridecell”.

• Streamlined debugging by developing an interactive visual timeline tool from Splunk logs. Enhanced

the tool with analysis capabilities so that it found and highlighted already-known issues.

• Traveled on-site to meet with customers (their call center, fleet maintenance, dispatchers).

• Developed bug fixes which prevented more than $4 million in wrongful charges.

• Created alerts and dashboards for myself and the other carsharing team on-call engineers.

• Interviewed, trained, and mentored new engineers, allowing my team to transition to the data team