TECHNICAL

Select past case studies, including Software Engineering & Data Analytics
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Organisation:Apple
Programme:Apple Foundation Programme
Roles:Project Manager
Technical Lead
AI Specialist

#TechFest #MachineLearning #GenAI




Designed and developed a fully functional communication training app, leveraging advanced ML & GenAI technologies to perform personalised speech analysis and cultural integration support. Individually completed technical implementation of AI model integration for real time speech and sentiment analysis; engineered custom performance scoring algorithms measuring fluency, pronunciation, vocabulary range, and confidence metrics; designed automated feedback generation systems using GenAI. Honoured to have been nominated as presenter at Software Engineering Showcase in UTS TechFest 2025, exhibiting our works to industry professionals.



Organisation:University of Technology Sydney
Subject:Internet Programming
Project Grade:Full Marks (100%)
Subject Grade:High Distinction (97%)

#WebDev #eCommerce #FullMarks




Individually architected & developed an exotic automobile rental system with advanced full stack web technologies: dynamic AJAX powered search, real time data processing, JSON inventory management, automated availability tracking, and seamless order processing workflows with premium user experience.Technical implementation encompasses jQuery based asynchronous operations, comprehensive form validation systems, and secure data handling protocols, showcasing proficiency in both client side and server side programming ready for enterprise level web applications with full marks awarded.



Organisation:University of Technology Sydney
Subject:Interactive Media
Project Grade:TBC
Subject Grade:TBC

#P3D #Animations #Programming




Multi scale temporal visualisation system reinterpreting celestial mechanics as functional time interfaces across three nested views: Black Hole centred view tracking 12 hour cycles like hour hand, Sun centred view marking 5 minute ticks like minute hand, and Planet centred view counting individual seconds like second hand of an analogue clock. The concept originated from Starlink's deployments patterns, translating constellation aesthetics into a clock system where astronomical observation replaces conventional numerals, supplemented by Time Machine (time travel to any timestamps) and Timer Mode (countdown with reverse mechanisms) as practical functions. Animation architecture employs graduated spreading algorithms producing organic repositioning behaviours.



Organisation:University of Technology Sydney
Subject:Data Driven Storytelling Studio
Project Grade:Full Marks (100%)
Subject Grade:High Distinction (93%)

#Environment #AAII #FullMarks




Led the development of an innovative solution addressing urban heat island (UHI) effects in New South Wales, Australia. This project, targeting the NSW Department of Planning and Environment, combined sophisticated data analytics with user centred design principles. The project pitch video received full marks and was requested by Australian AI Institute (AAII) lecturer as a reference for future cohorts.



Organisation:University of Technology Sydney
Subject:Data Visualisation & Visual Analytics
Project Grade:High Distinction (94%)
Subject Grade:High Distinction (96%)

#Interactive #Dashboard #DecisionSupportSystem




Crafted a comprehensive data visualisation suite analysing 37 years of Australian international trade data, focusing on gas export transformation. Engineered sophisticated statistical analysis framework incorporating growth rate, correlation matrices, structural break, and volatility across 78 categories, revealing Australia's evolution into a global LNG leader. Designed & deployed self contained dashboard & storyboard as web apps featuring advanced interactive controls, real time investment simulation capabilities, and policy oriented insights, successfully demonstrating 332× sectoral growth through compelling visual narratives targeted at government stakeholders and industry professionals / investors.



Organisation:University of Technology Sydney
Subject:Advanced Data Analytics Algorithms
Project Grade:Full Marks (100%)
Subject Grade:Full Marks (100%)

#MachineLearning #AlgorithmicTradingSupport #RandomForestRegression #WholeSubjectFullMarks



Developed an intricate machine learning model for gold price prediction using Random Forest regression, achieving exceptional accuracy with an R² score of 0.9999. The project received full marks for both implementation (a 10,000 word technical paper with .ipynb) and presentation (a 30 minute session with academic challenge and defence), with the lecturer noting this achievement as “truly remarkable” given the technical complexity. This technical accomplishment demonstrated strong command of advanced data analytics concepts and their practical application in financial forecasting with high potential for algorithmic trading support.


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Select Past Case Studies:

CONSULTING
SOFTWARE
ANALYTICS
EVENT MGT
COMMERCIALS
SOCIAL MEDIA



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