· Fulfilled DevOps and SRE responsibilities as an independent contributor· Optimised Ansible scripts, reducing runtime by over 86% (~15 minutes down to ~2 minutes; worst case)· Developed automated container orchestration and testing script, decreasing Docker deployment time by approximately 95% and boosting developer productivity by over 4% (enabling faster test iterations)· Developed code-integrated desktop wiki and online documentation, reducing error rate by over 56%, increasing workflow efficiency by over 35% in specific cases, and reducing time to incident resolution by 3%· Provided mentorship and guidance to junior employees, fostering professional growth and development· Monitored, identified, evaluated, and proactively mitigated potential business risks, including cyber threats and risks posed by other organisations, ensuring business continuity· Implemented SMS, email, team messaging alerts in Grafana notifications, reducing mean time to detect (MTTD) by over 3%· Resolved critical issues in development and production environments, including server and network outages· Developed mission-critical Infrastructure as Code using Ansible, Docker, Bash and GitHub Actions· Mitigated system-breaking problems by proactively identifying and resolving database-related issues before reaching production· Systematised, documented and automated DevOps workflow in the business environment

· Optimised dozens of SQL queries resulting in an average runtime reduction of over 95% (240+ seconds down to 12 seconds on average)· Worked with large dataset for majority of projects (350+ million rows or 80+ GB of JSON embedded SQL)· Wrote proposals, winning jobs via government tender worth over $40,000· Designed and implemented dashboards with PostgreSQL and Grafana giving civil servants an overview of location occupancy and traffic flows over time· Automated the process of weekly report generation, saving over 90% of time spent on said process· Responsible for developing and maintaining automated unit and end-to-end tests with Cypress and Jest· Produced training material covering research, SDLC, Git, project management, Jira, Confluence, agile, scrum, waterfall and more· Managed agile sprints with Jira and documented internal processes and projects with Confluence· Presented to, and effected change with senior management and members of the board· Managed key relationships, both internally and externally· Provided guidance and mentorship to more junior employees

· Developed machine learning model to predict pedestrian traffic flows and location occupancy with Tensorflow (mean error less than 9%)· Built out Gitlab CD/DI pipeline to automatically extract and parse PostgreSQL and JSON data· Automatically passed data into ML model, and output predictions to database· Predictions were automatically viewable in all customer dashboards, updated daily

· Launched start-up, and developed IoT system that would notify caregivers in case of medical emergency· Developed classification model to determine if a subject had collapsed or fallen with 97% accuracy· Built out full-stack web-app for customer interaction· Participated in and assisted hosting of hackathons· Built out extensive network to rely on for support, including developers, mentors, investors, university, government, political and industry connections· Acquired over $50,000 in Microsoft Azure credits through industry connections· Acquired residency at UniSA’s Innovation and Collaboration Centre (ICC)

The ICC is an incubator that supports entrepreneurs to grow disruptiveideas. They provided valuable assistance when I was working on my startupTantulum.