Optimized AI Safety report workflows through self-initiated features, including host agnostic REST model response extraction and field autocomplete

Conducted several app compliance agentic crawls and wrote backend services for classifying LLM responses

Influenced successful core functionalities such as app context extraction and improved error handling through actionable feedback

Organized bug bashes, triaged issues, delivered bug fixes, flagged early issues, reduced technical debt, and authored comprehensive unit and a11y tests

Launched an improved code compliance landing page (Inbox Mini) with complex Angular routing and advanced sorting

Developed from inception metrics collection (Prometheus), data pipelines (BigQuery), and dashboard creation (Metabase/Tableau) used by multiple teams to track performance of our product over time in many configurations. Served as the point of contact, owning the data and transforming use for other platforms and cases such as dynamic baseline tracking

Tested product performance at different high configurations (API keys, user accounts, service accounts, environments, etc) to test unexplored limits there, exposing bugs and providing insight into product limitations

Mentored engineers in best software engineering practices in the command line and Confluent specific tips, also documenting common issues / bugs and how to deal with them

Supported operations and technical debt through other important upkeep such as creating infrastructure to support M1 Macbook compatibility and migrating from JFrog to ECR for artifacts

Won the company-wide Ship it award for drastically reducing Semaphore CI times by improving slow checks and parallelizing others, also participating in other Hackathons

Improved ease of comparing performance differences between the on-prem/cloud products, since test can be easily run for both products and used the same configurations and hardware

Enabled utilization of cloud advantages (rather than locally) such as use of a standard environment, faster computing, automation, less strain on personal hardware, etc

Exported metrics for Prometheus monitoring, also allowing side-by-side comparisons between the baseline and current benchmark results for on-perm releases in files exported to AWS S3 and within Jenkins

Worked on improving a separate tool used to start the Confluent on-prem releases within the cloud, such as more robust Terraform version checking and ensuring public DNS addresses were generated for custom security groups/subnets

Received and accepted a full-time SWE return offer

Designed and wrote a thread-safe distributed backend component used to collect/propagate span data by interfacing with the OTel API

Planned and implemented the API and frontend component to emits aggregations in JSON and serve files

Innovated how zPages/Tracez display aggregations by minimizing rendering through separating the data and UI

Contributed to the OTel blog by writing about zPages, creating diagrams, and organizing other interns to detail findings between all the zPages projects. Also spearheaded preliminary details for the zPages experimental specification

Created unit and benchmark using GTest fixtures, CPU timers, and friend classes

Received a full-time SWE return offer

Refactored hundreds of lines of Django templating code into Vue, including updating grade distribution and student standing plots to Plotly graphs better utilizing whitespace, for production use

Debugged long-standing issues with missing and inaccurately sorted data for edge cases