B. Engineering (I.C.T. Software) & B. Industrial Design (3D Graphics)
I have committed myself academically while working professionally for over 10 years. My most recent achievements can be found here. If you see anything you like and want to chat drop me a line.
Achievements at University
I have been happy with my efforts while studying at the University of Technology Sydney (UTS). I am excited and very eager to put my learning to task professionally. I have received:
Grade Point Average (GPA)
6.26/7
GPA
(Distinction)
Weighted Average Mark (WAM)
81.61/100
WAM
(Distinction)
High-Distinction (85-100%) Subjects, Click Here
- Introductory Digital Systems
- Applications Programming
- Information & Signals
- Internet of Things
- Real Time Operating Systems
- Engineering Research Preparation
- Interrogating Technology: Sustainability, environment & Social Change
- Professional Studio A
- Professional Studio B
- Entrepreneurship & Commercialisation
- Engineering Capstone
Distinction (75-84%) Subjects, Click Here
- Engineering Communication
- Physical Modeling
- Programming Fundamentals
- Mathematical Modeling 2
- Introduction to Electrical Engineering
- Software Architecture
- Software Engineering Practice
- Security Fundamentals
- Engineering Economics & Finance
Project Examples
Below I have collected a few examples of projects I feel have excelled. These projects have used project management and team leading skills to get a result for our client brief. To do this I have called upon the following skills from my team and myself.
Complete solutions for business
Stop gap solutions seldom yield more than systemic problems. By employing the right architecture that pin points and addresses your needs, the business aspect and client will be at ease with lasting up-to-date solutions.
Data Capture, Blockchain & Security
Being better informed gives a project the edge to compete. Collecting the right data to inform decisions is key to this. Deploying enterprise or embedded software solutions to build a vision of the project gives you this edge. Ensuring the security and authenticity of you data makes it of value.
Data Analysis & Machine Learning
Building a model that can help guide you through complex scenarios makes you better informed to make the right decisions. Finding qualitative data of quantity builds better machine learning models. I have used tree-boosted systems of weak learners compared with lasso/ridge linear regression to build accurate machine learning models.
