Breno Faria

▶ Built concurrent Java services using virtual threads and gRPC to run synthetic health checks against a petabyte-scale distributed NoSQL platform, validating indexing correctness and data availability

▶ Designed high-throughput validation and monitoring pipelines to benchmark indexing latency, verify record propagation, and trigger alerts, using IaC for consistent deployment across multiple production regions

▶ Refactored and optimized existing AWS Lambda services and deployed new serverless workflows, reducing average execution time from 60+ seconds to ~15 seconds

▶ Improved observability and system performance by reducing cross-regional latency by 170ms, decreasing test flakiness, and enabling low-friction rollout to new regions

▶ Designed and implemented a scalable backend powering advanced search filters for a training platform serving 1M+ users and indexing over 100M records

▶ Architected parent-child indexing in OpenSearch and refactored ingestion pipelines (AWS Lambda) to support new data models and session metadata with high consistency

▶ Integrated GraphQL APIs with distributed services to enable faceted search, reducing query latency at scale

▶ Wrote comprehensive unit/integration tests and performance benchmarks to support rollout

▶ Delivered a robust, low-latency search solution adopted by multiple internal organizations across Amazon

▶ Tackled production bugs and implemented features in Java-based microservices

▶ Optimized query efficiency by moving filtering logic to the backend, eliminating ~20,000 unnecessary queries per day, significantly improving page load times, and reducing strain on DB services

▶ Refactored a large portion of HTTP request handling and legacy code, streamlining API interactions, reducing redundant calls, and improving maintainability and performance

▶ Participated in the development and maintenance of the club's website and registration platform

▶ Contributed to the [backend] software development and maintenance of several projects within the club

▶ Main technologies used: TypeScript, MongoDB, Express JS

▶ Worked in the university's math department, providing one on one tutoring and organizing Exam Prep (comprehensive review) sessions

▶ Gauged students' level and needs in order to provide personalized advice and explain the content in a clear and concise way

▶ Tutored several math courses, such as Linear Algebra, Calculus I, Calculus II, etc.

▶ Designed and implemented data aggregation tools with Python and PostgreSQL that were used on a federal scale, increasing case submissions by over 10%

▶ Developed several automation scripts, browser extensions using JavaScript, reducing the time spent on routine tasks by 50%

▶ Implemented and integrated new software solutions while assisting departments with technical challenges