Improved efficiency of 40 user-facing dashboards by refactoring complex SQL queries, achieving significant reductions in query times (over 4 minutes to <45 seconds) and meeting updated SLAs, crucial for retaining high-value customers

Demonstrated expertise in company security tasks by conducting thorough research and presenting findings to auditors, resolving a SOC2 audit exception and achieving a flawless SOC2 audit report without any exceptions

Resolved misconfigured traceback logging in Datadog, reducing logs by seven-fold while preserving previously lost error context and minimising logging costs

Increased developer productivity by streamlining software development processes such as implementing automated code pipeline retries, frequently updating library versions, and adding pre-commit hooks to support engineering requirements

Created a robust and efficient Python module to transform custom JSON query objects to efficient PostgreSQL queries, enabling seamless data retrieval and frontend rendering using Highcharts for customizable, real-time data analytics

Accelerated dashboard loads, achieving sub-second latency (from over 2 seconds) using NumPy, pagination, and data table virtualization

Designed and implemented a multi-stage CI/CD pipeline with GitLab and Heroku and built a Dockerized Flask and PostgreSQL application with 98% PyTest coverage, streamlining the prototyping and development of large-scale projects

Consolidated and normalised data for 100k+ businesses and brokers across 16 JavaScript-heavy websites into a PostgreSQL database through an ETL pipeline using Python, Selenium, Scrapy and Chrome WebDriver

Evaluated feedback for over 60 weekly programming assignments with a focus on code correctness, space efficiency, and runtime optimisation

Assessed and aggregated weekly homeworks and in-class assignments to determine the final semester grade for students