• Optimised database performance and reduced session-related reads by 90% by configuring and implementing a Redis write-through cache

• 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

• Developed a Python-based recommendation engine and accompanying dashboard UI utilising machine learning (scikit-learn), NLP (Natural Language Processing), Dash, and Pandas, enhancing a private equity client's ability to quickly identify the 5 most promising deals

• 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

• Conducted individualised instruction with personalised code review to over 30 students in Python fundamentals, resulting in a 90%+ assignment completion rate

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

• Facilitated weekly discussions on innovation, invention, entrepreneurship, lean, and agile technology development for 25+ students

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