Online Ordering Team

App Cloud

• Partnered with cross-functional teams (Product, iOS, Android, Web, UI/UX, QA) to deliver multiple high-impact projects, each spanning 3–6 months.

• Designed, developed, tested, and deployed the Offline Workout feature using Python, FastAPI, and AWS,

improving workout tracking accuracy by 10% and reducing workout-ending issues by 7% year-over-year.

• Spearheaded code and design reviews, ensuring adherence to best practices and fostering knowledge sharing within the engineering team.

• Enhanced developer efficiency by implementing observability in Datadog, reducing mean-time-to-detection (MTTD) for service latency and error issues by 15%.

• Engineered RESTful APIs to support Peloton’s Freemium app experience, driving a significant increase in monthly active users and conversion to paid subscriptions.

• Built a Golang microservice to manage and enforce user privacy preferences, ensuring compliance with evolving location-based privacy regulations.

• Developed Kotlin-based microservice endpoints for Peloton’s content management system, enabling the seamless creation of guided workout plans by content creators.

Decisioning as a Service Team

• Contributed to the migration of Powercurve, an on-premise legacy credit decisioning product, to an AWS-hosted platform, helping deliver a modernized, scalable solution that generated $46M in FY22 revenue.

• Worked closely with cross-functional stakeholders, including Product, QA, DevOps, Delivery, and Service Teams, to ensure successful project execution and timely completion.

• Mentored and onboarded a team of 4 offshore developers in India, improving ramp-up time by 30% and ensuring alignment with engineering best practices.

• Developed a feature to support joint loan applications using Python, a proprietary workflow studio, and AWS RDS (PostgreSQL), enhancing customer flexibility and enabling broader use cases.

• Integrated the application with a distributed credit reporting service and conducted extensive integration testing, achieving 99.9% reliability in production.

• Identified and mitigated security vulnerabilities across .NET/C# projects, achieving a compliance score of 90+ through automated code scans using Veracode and SonarQube.