• Owned the end-to-end design and implementation of a distributed data ingestion system, powering the product.

• Designed a modular framework that reduced the development time for new providers from 1-2 weeks to 1-2 days.

• Drove the initiative to establish a new staging environment, enhancing the robustness of our CI/CD pipeline.

• Created and managed AWS infrastructure using Terraform, establishing a reproducible cloud environment.

• Championed operational excellence by adopting an observability stack with Grafana, Prometheus, and Loki to drive automated alerting and establishing on-call procedures to respond to incidents.

• Shipped a critical incident remediation feature by leveraging LLM recommendations, customer feedback, and automated tool calls, unlocking key opportunities for new and existing customers.

• Collaborated with AI Engineers to develop an internal MCP service and iteratively improve LLM prompts and tooling, enabling fully dynamic investigations.

• Developed a new API for video metadata using Python, Postgres, and FastAPI, allowing record labels to identify videos using their licensed music.

• Implemented asynchronous tasks using Python, Celery, and Redis to manage large scale data retrieval.

• Created and managed new application infrastructure in AWS using Pulumi IaC.

• Established a new CI/CD pipeline using GitHub Actions to automate the build, test, and deployment of a Python application and its related infrastructure.

• Resolved production bugs and improved data validation in the music distribution product for independent labels.

• Collaborated with management to write OKRs and capacity plans for the team.

• Owned the design and development of a new distributed system based on Go, Postgres, and Kubernetes to manage internal user groups across the organization.

• Contributed to a new UI platform built in TypeScript and React to improve the usability of internal services.

• Designed and developed new microservices using Python, Go, Kubernetes, and AWS to automate data integration between internal services and SaaS applications.

• Developed internal CLI tools with Rust to automate IT Support tasks, saving hours of manual work.

• Interviewed potential candidates for the team, resulting in the successful hiring of two highly talented engineers.

• Performed live demos to showcase new features and improvements to our services.

• Led various scrum ceremonies including sprint planning and retrospectives while guiding the team to OKR completion.

• Owned and delivered multiple quarterly OKRs.

• Designed and developed new systems using Python and AWS technologies.

• Managed and deployed new and existing AWS infrastructure using Terraform and the Serverless framework.

• Resolved production incidents as part of on-call rotations.

• Refactored and redesigned legacy Python microservices.

• Maintained and improved CI pipelines to automate building, testing, and deploying microservices.