Full-stack engineer on a small team of engineers working on software infrastructure tools for Kubernetes users. Developer on Linkerd, a popular open-source service mesh for managing distributed applications. Developer on Buoyant Cloud, a SASS application that aggregates customer metrics and provides graphs, tables, configuration interfaces and alerts for microservices running on Kubernetes.

[React, GraphQL, Go, Prometheus, Kubernetes, Docker, Linkerd]

• Worked on several versions of Buoyant Cloud, writing both back-end and front-end of several large features

• Primary developer on the Linkerd 1 UI, one of the key ways users understood their distributed traffic

• Evaluated and integrated several technologies to improve developer efficiency and meet product goals, including graphQL, Recharts, MaterialUI

• Wrote several integrations to external services (Slack, Pagerduty, Argo), worked with many APIs to power the product (Mailchimp, Chargebee, ActiveCampaign)

• Helped manage and maintain the application on Kubernetes in Azure. Developed and tested on local and staging environments. Tools used: Helm, Azure CLI, Linkerd

• Evangelized Linkerd to the engineering community by giving several technical talks about Linkerd features and development at meetups and conferences, to audiences of 30-1200 engineers

Selected Talks & Presentations

Slides (and links to videos and accompanying code repositories) for the talks I’ve given are listed here:

https://github.com/rmars/talks/

• ServiceMeshCon EU: What happens when service mesh maintainers get a taste of their own mesh?

• KubeCon NA (Co-presenter): There’s a Bug in My Service Mesh! What Do You Do When the Mesh is At Fault?

• Women Who Go: Meetup Using GraphQL to write awesome Golang APIs

• Kubecon EU: When the Command Line is Not Enough

• CloudExpo Europe: Debugging Services in Kubernetes with Linkerd 2.0

• SF Reliability Engineering Meetup: Best practices for debugging your Kubernetes clusters

Full-stack engineer on the internal tools team for Ads, obtaining data from large data warehouses to build highly customized data tools for Twitter’s salespeople (around 600 internal customers)

[Scala, JavaScript, Backbone.js, Ruby, Rails]

• Built comprehensive suite of tools to give actionable insight into ad performance for Twitter's largest ad spenders

• Aggregated data from a number of internal sources, eliminating need to search through myriad of hard to use, legacy tools

• Led development (architecture, design, coding and mentoring other developers) as tech lead on an advertiser/vertical benchmarking tool (a quarter-long effort by 5 team members)

• Provided salespeople with data needed to drive sales from big advertisers, resulting in large incremental revenue gains for the company (hundreds of thousands of dollars)

• Automated common workflows and data processing tasks, saving sales team hundreds of hours of manual, error-prone work

• Maintained and rewrote many legacy tools (from Ruby to Scala), improving performance and deleting thousands of lines of old code

Coached students on communicating technical concepts to both technical and nontechnical audiences.

• Lead sessions (along with professor) on effective technical communication

• Gave personalized coaching and feedback to students on content, structure, body language, speech

• Improved features on course website (in PHP)

• Graded oral and written assignments

Worked on internal tools for sales and product team in Java, Velocity and Ruby on Rails.

• Added new features to a time reporting internal tool

• Improved interface of a client management tool

• Automated several tasks, saving the managers hours of time per week