•Representing the organisation as an AI expert and collaborating with internal teams of 2 major banks in Australia in the diagnostics operations of 7 weeks when getting them onboard. •Developed a conversational chat assistant application and an alert generation method catering for finance utilising Gen-AI(LLMs), AI agents, LangChain, Azure Open AI and a proprietary knowledge base.•Restructured and modularised a legacy NLP Fin-tech ML clustering model for financial risks, developed evaluation methods, and enhanced clustering quality by 32%.

•Developing a suite of deep learning models for Encrypted Traffic Analysis to secure IoT devices against privacy threats from 15+ manufacturers including Apple, Google, and Amazon•Communicated project outcomes using visualisations to a diverse set of stakeholders, including students, industry partners, and academics to help them better understand the results of the project and make informed decisions.•Supervised and mentored 2 junior team members and closely worked with them during the processes of data collection, data wrangling and labelling, model development and publishing.

•Designed and implemented software tools to ensure database integrity of the Sydney WestConnex ITS project, which involved managing 3000+ devices such as traffic cameras, fire alarms, and variable speed signs.•Collaborated with other teams and managed cross-functional weekly software builds of the entire project that included deployments in 3 development servers, 3 test servers, and 6+ client workstations.•Conducted robot regression tests and functional tests for 11+ functional packages, such as fire detection, ventilation, and reporting, ensuring the quality of customer deliverables for each build.

•Developed machine learning algorithms to identify traffic movement patterns in Sydney using Wi-Fi hotspot (160+ spots) data to enhance TfNSW's ability to optimise transportation strategies.

•Developed algorithms and data-driven models using traffic physics to detect anomalous data that reported above 94% accuracy in high-density Sydney M4 vehicular network.•Led and core developer for prototype development of a deep learning-based traffic monitoring system deployed and tested over 2500+ vehicles at 2 different locations in Sydney.•Led and developed an in-app secure payment-enabled Mobility as a Service mobile app with 5 team members from 2 different countries.•Configured open source (SUMO from German Aerospace Engineering) and commercial traffic micro-simulators (VISSIM and Aimsun), network simulators (Omnet++), and data analytics tools.•Demonstrated and tutored over 4 different transport data analytics courses

•Developed core Project Management functionality of IFS ERP software solution used by 2000+ customers in over 60 countries.•A key player in the product support team involved in bug corrections, task investigations, working alongside with customers, and providing functional feedback to run their operations smoothly.

•Developed a real-time multi-monitor desktop capturing and remote streaming tool across 6+ development teams using C# socket programming and WPF as a training tool for the US military.•Involved in video and audio encoding using C++ and software libraries including OpenCV, live55 and ffmpeg.