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Resume

Rus Walten

Seattle, WA

Front-end Engineer with expertise in scalable UI/UX solutions, data visualization, component-based development, cross-functional leadership, and proven revenue impact.

EXPERIENCE

Software Engineer II, Company3

May 2022 – Present

Brandclub app – Lead Software Engineer

  • Led a team of 3 engineers to develop a shopper analytics tool using React, GraphQL, and Node.js. Created a user-friendly platform for businesses to analyze complex data with rich visualizations, generating over $2M in revenue in the first year.
  • Built a checkout process in the app that allows users to buy products from any online retailer. Increased user retention rate by 15%, decreased bounce rate by 35%, and boosted overall sales by approximately 19%.

Drive – Lead Software Engineer

  • Implemented a “Keyword Suggestion” tool using LLMs, boosting ad performance on Amazon and Walmart by 19%, cutting costs by 37%, and increasing annual revenue by over $100K.
  • Built an internal React component library, speeding up UI development by 20% and improving UX consistency.
  • Created documentation that saved 1 week during onboarding.
  • Led the integration of Amazon Marketing Cloud and Criteo, successfully onboarding and saving $60K.

Software Engineer, Company2

August 2020 - May 2022

  • Migrated frontend deployment from Apache to AWS, resulting in a $10K monthly cost saving.
  • Optimized website performance, reducing load times by 30% and build time by 60%. Decreased network footprint from 2 MB to 500 KB through code refactoring, caching, and builder optimizations.
  • Developed an internal template tool for Accenture (Next.js), increasing efficiency for the biz-dev team by 25%, saving up to 40 hours per project.
  • Led development of a cybersecurity training course based on the board game Life, featuring random spinner results, animated game pieces, and character selection (React, XState, Lottie, WCAG 2.0 AA compliant).

Software Engineer, Company1

October 2019 - May 2020

  • Built a React dashboard to simplify management of service behaviors and analytics. Cross-browser performance optimizations.
  • Developed a profanity filtering service that processed over 10 million messages per month, efficiently handling more than 97% of the total traffic. The service reduced inappropriate content at scale, with Python and Docker ensuring high availability and performance.

EDUCATION

University of Management “TISBI”, Kazan
M.S Applied Informatics
B.S Computer Science

TECHNICAL SKILLS

Languages: Python, Typescript, JavaScript, SQL, NoSQL, C#
Technologies: React, Node.js, React Native, Next.js, Redux, Relay, Accessibility, Vite, HTML, CSS, SASS, React-Spring, Material UI, d3.js, Highcharts, npm, yarn
Tools: S3, CloudFront, AWS Lambda, EC2, AWS Amplify, Webpack, Puppeteer, Jest, Cypress, Lerna, A/B testing