As a key player in a groundbreaking team, I made significant contributions to Amazon's financial data systems, enhancing efficiency, scalability, testability, and monitoring:Search Infrastructure: Designed and fine-tuned search/aggregation queries, achieving top-tier performance for data retrieval in a high-volume, Amazon scale environment.Data Management: Pioneered a Spark ETL ingestion process that optimized handling of massive data volumes, transforming raw data into… Show more As a key player in a groundbreaking team, I made significant contributions to Amazon's financial data systems, enhancing efficiency, scalability, testability, and monitoring:Search Infrastructure: Designed and fine-tuned search/aggregation queries, achieving top-tier performance for data retrieval in a high-volume, Amazon scale environment.Data Management: Pioneered a Spark ETL ingestion process that optimized handling of massive data volumes, transforming raw data into insights.Reliability Engineering: Created an end-to-end application monitoring system with AWS Cloudwatch and Xray, resulting in improved system resilience and rapid response times.Analytics Pipeline: Devised a real-time analytics pipeline via AWS Kinesis, facilitating evidence based decision making. Data Integration: Orchestrated seamless data flow from DynamoDB to Open Search via AWS Firehose and Lambda, enhancing the system's interoperability.Leadership & Mentorship: Applied software design expertise to elevate team performance, fostering a culture of learning and continuous improvement through constructive code reviews, pairing sessions, and mentoring. Show less

- Pioneering the Contracts Intelligence Tool (aka the CIT)I played a key role in creating the market-leading Contracts Intelligence Tool, which operates on a massive scale. The backend was powered by the aforementioned search service, while the front end utilized angular.js, resulting in a powerful and user-friendly tool similar to an excel pivot table on steroids. - Customized Autocomplete System:I designed and implemented a sophisticated and reusable autocomplete system… Show more - Pioneering the Contracts Intelligence Tool (aka the CIT)I played a key role in creating the market-leading Contracts Intelligence Tool, which operates on a massive scale. The backend was powered by the aforementioned search service, while the front end utilized angular.js, resulting in a powerful and user-friendly tool similar to an excel pivot table on steroids. - Customized Autocomplete System:I designed and implemented a sophisticated and reusable autocomplete system, expertly integrating custom boosting algorithms tailored to meet diverse client use cases. This enhancement significantly improved search precision and user satisfaction across various business domains.- Performance Tuning SpecialistScenario: A Ruby API with 3-6 second load times. No cache misses, external calls, or memory leaks present. I knew this problem was something in our Ruby code. Observing 3-5 GC runs per request confirmed my hypothesis, and with memory leaks already rules out; the only other explanation would be a massive allocation spike. I expected to find faulty N+1 logic, or excessive iteration, but nothing found. The code was actually very simple and straightforward. No red flags. This would require some out of the box thinking, so I made a simple test utility to measure GC allocations before and after executing a block of suspect code, forming the basis for a Test-Driven Development (TDD) feedback loop. Leveraging my Ruby expertise, I targeted GC "hot spots" and implemented optimization strategies where appropriate. The tests provided constant feedback on the effectiveness of each change, so I knew I was onto something. If you're curious what went wrong, check the ActiveModel source, they ran into the exact same issue. It's all about how dynamic attributes are defined and called. Ultimately, 8 unique optimization strategies were leveraged, and they resulted in allocations dropping from ~500k to ~10k. And PROD load times were reduced to 300-500ms on average. Show less

During my tenure at Bloomberg, I achieved a significant milestone by co-authoring the search service that formed the backbone of BGOV.com's essential features. Utilizing a service-oriented design, the service showcased remarkable backward compatibility, seamlessly supporting 4 major ElasticSearch releases with zero downtime. Its adaptability enabled the integration of advanced functionalities like aggregations and function scoring, catering to evolving user demands. Notably, the service's… Show more During my tenure at Bloomberg, I achieved a significant milestone by co-authoring the search service that formed the backbone of BGOV.com's essential features. Utilizing a service-oriented design, the service showcased remarkable backward compatibility, seamlessly supporting 4 major ElasticSearch releases with zero downtime. Its adaptability enabled the integration of advanced functionalities like aggregations and function scoring, catering to evolving user demands. Notably, the service's flawless migration to the AWS cloud underscored its robustness and versatility.In parallel, I authored a low-level Ruby client library and a high-level Ruby on Rails-inspired framework for aggregations, optimizing data interactions. As the platform transitioned from Ruby to Node.js and GraphQL, I contributed a Node.js client wrapper, ensuring uninterrupted efficiency and top-notch performance.This standout achievement in designing and maintaining a critical system remains a defining highlight of my career a Bloomberg. I take pride in delivering solutions that exemplify excellence and innovation. Show less

Helping guests find the perfect wine.