Fixed Income Real time alerts team

Rewrote our teams Cassandra client and achieved these results:

Reduced Cassandra reads team by 20x for a batch of 100 securities by caching prepared statements and performing them concurrently, BEFORE: 50th percentile, 90th percentile AFTER: 50th percentile, 90th percentile (brought job’s total processing time down from 3 hours to 30 minutes)

Performed async Cassandra writes and cached prepared statement, achieving 8x speed enhancement for a batch of 100 securities. BEFORE: AFTER: (brought job’s total time down from 30 minutes to 10 minutes)

Identified bottlenecks throughout ETL pipeline for (BVAL GSAC) job through grafana, and increased relevant Kafka instances bringing total e2e time down from 9 hours to ~40-50 minutes

Charged Cassandra compaction strategy saving 143k/year reducing droppable tombstone ratio from 95% down to 12%. Decreased the amount of SSTables per read down from ~20 to 4 speeding up median read latency by around 27%.

Threaded API calls to service scaling up application to allow users to request up to 2.4 million securities rather than 500k before timing out

Setup teams docker containers for integration testing, allowing cleaner integration testing by allowing for api requests to route to containers, mocking db containers, and mocking a Cassandra db.

Selected as 1 out of 200+ applications to participate in a 10-week Software Engineering Fellowship with a Google SWE focusing on technical mentoring and workshops designed to enhance technical problem-solving

Revamped the CI/CD pipeline by integrating Google APIs, reducing smoke test result delivery times by 15% for a more reliable and secure platform using JavaScript and Node.js

Decomposed legacy APIs into smaller units, leading to a 30% increase in performance and a 40% downtime reduction

Collaborated with several teams to automate API documentation, cutting documentation creation time by 60% and eliminating manual errors by using Swagger UI to generate OpenAPI specs from TypeScript objects

Implemented a request and response validator for API, increasing accuracy and reducing testing time by 70%

Resolved errors in regression tests resulting in a 10% increase in test accuracy, reducing bug reports to users by 15%

Developed a robust rules engine to prioritize over +10,000 CPU anomalies in Python, resulting in a 35% decrease in false positives and improving the detection of true anomalies by 20%.

Collaborated with team to analyze over ~200 anomalous reports, developing six prioritization rules for high-severity issues resulting in a more efficient workflow and reducing falsely-reported anomalies by 90%

Corresponded with cross-functional teams to troubleshoot system issues, reducing error reports by 40% and increasing user satisfaction.

Executed a three-week project using React and JS to build a website for new hires to get more accustomed to the workplace and team members

Spearheaded the website's design, and solved problems other team members were facing resulting in more features implemented on the website and a 15% reduction in overall development time.