Jerry Liu Email & Phone Number

Melbourne, Vic, Au

Melbourne, Victoria, Australia

Digitising wastewater treatment industry by upgrading hardware to utilise IoT technology. The data gathered can then be used in complex visualisations and analytics to better optimise the system.RESPONSIBILITIES- Lead design, development and implementation of software solutions- Conduct code reviews to maintain code quality and performance- Collaborate with cross-functional teams to ensure projects are delivered on time and aligned with stakeholder requirementsACHIEVEMENTS- Led the implementation of an customer support ticketing system linked to ClickUp (project management platform). This streamlined communication allowing for technical issues to be resolved quickly and progress to be tracked transparently.- Rewrote 2 pages and 15+ components to use TypeScript in order reduce frequent bugs that occurred with those functionalities. Which prompted the software team to switch to TypeScript for future developments.- Re-released an improved version of the mobile app (coded in React Native), adding 5+ screens of important features requested by clients. I am thus familiar with the publication process to both Google Play and Apple app stores.- Improved CI/CD by automating Azure Cloud resource deployments freeing up significant developer time during customer acquisition.- Implemented one-click mass deployment and update of edge device software through Docker. This reduced deployment errors and improved version control reducing bugs.

Melbourne, Victoria, Australia

Digitising wastewater treatment industry by upgrading hardware to utilise IoT technology. The data gathered can then be used in complex visualisations and analytics to better optimise the system.RESPONSIBILITIES- Contribute to the development of the Streamwise IoT platform to visualise and process field data, supporting automated systems- Research, trial and select appropriate software programs and mechanical or electrical components for use in the creation of functional software.- Maintain version control of all software, including beta testingACHIEVEMENTS- Redesigned and implemented the backend software architecture that controls all hardware equipment on site with .NET (C#). The new design supports 4 of the most common hardware communication protocols making customer acquisition cheaper as they do not need extra hardware.- Developed 25% of the web portal used to manage all site operations with ReactJS. Utilised both Restful APIs and web hooks for data fetching. Experienced with Bootstrap and Redux.- Implemented automated control loops for chemical pumps: PID, ESC, Bayesian Linear Regression. This reduced drastically the frequency of manual operation by site personnel and provided an instant real time response to production changes.- Setup a fully automated report generation system for data visualisation. The clients can customise the type of graphs and time period of telemetry data to be displayed allowing efficient operation analysis and reporting for site managers.

Melbourne, Victoria, Australia

A skincare and beauty company that creates custom skin creams bespoke to customers needs wanted to automate their ingredient selection process. The specialist needed me to digitise her knowledge of ingredients and which ailments they cure.RESPONSIBILITIES- Create an macOS app that takes in excel spreadsheets and returns ingredient formulas - Perform data cleaning and analysis- Utilise machine learning methods to develop an algorithm for ingredient selectionACHIEVEMENTS- Successfully delivered an macOS app built using Python with theme detection (light vs dark).- Implemented Knuth’s Algorithm X (recursive, depth-first search with backtracking) to solve for this constraint satisfaction problem. - Provided post launch support so the app works with new Mac M1 ARM chips.

Melbourne, Australia

Analysed accelerometer data from previous vehicles to identify areas of improvement such as handling behaviour (cornering, braking, accelerating) and driver behaviour.Designed and implemented ride height sensors for both combustion and electrical vehicles. Data was then analysed using ScikitLearn and pandas to be used by other engineering teams.