As a Senior Software Engineer with over 6 years of experience at Atlassian and Spoiler Alert, I specialize in developing high-quality product features.
2024 — Now
Boston, Massachusetts, United States
Increased adoption of smart awarding by 300% by replacing an inflexible legacy system with a real-time
suggestion engine that adapts to user choices and maximizes remaining revenue opportunities, using React, Node.js, MongoDB, and serverless functions.
Planned and built UI components using React, CSS, Chart.js, and GraphQL to display interactive data on
buyer participation, fulfilling the top VoC feature request and achieving 94% adoption in one month.
Architected and led sub-teams in developing six new product features. Collaborated with cross-functional stakeholders (product, design, support, and data) to define requirements, create timelines, implement great UX, write documentation, and execute phased releases.
Conducted team and engineering department retrospectives bi-monthly as part of the Scrum framework. Iteratively improved the retro process, increasing team satisfaction by 5% quarterly.
2021 — 2023
Increased customer net revenue by over $20k per cycle by adding freight cost estimates to the awarding algorithm and UI. Utilized Mapbox API for distance calculations and React for the front-end.
Reduced manual data modification requests by 80% and saved an estimated 40 engineering hours quarterly by automating common data modification tasks.
Standardized error handling across the platform by implementing the observer pattern and creating handlers for logging, support, and end users, reducing support requests by 15% and increasing customer satisfaction.
2019 — 2021
Mountain View, California, United States
Architected and developed new micro-services with GraphQL & API endpoints that store and serve comments over 2 seconds faster and over 5% more reliably than the legacy monolith system.
Mapped and migrated comment data from legacy RDS relational database to new dynamoDB database.
Led operational readiness for the new microservices creating and ensuring terraform alerts, SignalFx
dashboards, runbooks, and SLIs were in place prior to rollout.
Enabled new team members to reach their target velocity 66% faster by developing introductory
documentation (technical & non-technical) and by serving as the primary collaborator for code pairing and code review.
Conducted over 200 technical interviews and assisted >10 coworkers in their interview training, contributing to the success of Atlassian’s company-wide hiring OKR.
Mountain View, California
Collaborated cross-team to successfully integrate new platform-level services and components with the existing legacy notification delivery service, satisfying OKRs across 3 teams.
Achieved GDPR goals by removing personally identifiable information and user-generated content from the mobile notification pipeline.
Resolved multiple top priority bugs around duplicate and missing mobile notifications (android & IOS).
Enabled immediate team to measure the impact of new or modified features, calculate the number of active users, track user patterns, and provide useful data to the team’s PM and data scientist by implementing server-side analytic events and amplitude dashboards for all of the team’s backend features.
Organized and oversaw retrospectives and cross-team meetings, including generating summaries and action items.
Education
Lehigh University