Graduate of MSc in Artificial Intelligence from Munster Technological University holding Stamp 1G visa. With a passion for fields concerning web development, software development, computer vision and machine learning, I am eager to utilize my skills for the good of any institution. Accomplished projects such as Augmented Reality assisted visual impairment aid for Master’s research as well as indoor map reconstruction and navigation during the course of university, and I am willing to harness those skills acquired from those projects. I am very eager to learn and will not shy away from any new challenges. Proficient in Python, OpenCV, YOLO object detection, Tensorflow, Keras, Scikit-Learn, numpy and matplotlib.
Accrued industrial experience in agile based online banking solutions development for both mobile and web platforms for Malaysia’s 2nd largest bank (CIMB bank) with demonstrated abilities in customer relationship skills.
Marcus Wong Yew Hon
Cork, Ireland
+353 834165601
marcuswyh.97@gmail.com
Masters in Artificial Intelligence • First Class Honours, 79.3% • September 2019 - October 2020
Master's programme for Artificial Intelligence, with a focus on applied machine learning techniques as well as an in depth dive into the theories behind machine learning algorithms and deep learning models. Complementing machine learning and deep learning in this course includes big data processing, NLP and machine vision just to name a few. Demonstrated competent understanding of A.I by the end of this course and completed a thesis on object detection via an AR device.
B.Sc. Degree in Computer Science • First Class Honours, CGPA 3.74 • March 2016 - March 2019
Bachelor's programme for computer science. Was exposed to a myriad of technologies and frameworks during the course of my Bachelor’s in Computer Science such as distributed programming with Scala’s Akka framework, C# with SQLite, Memcached database, MongoDB, Ubuntu Linux, Digital Image processing with python and Android application development with Java. Acquired a solid algorithmic and OOP programming foundation during my time here. Completed an indoor navigational system using only images of floor plan maps and directory listings for the course's final year project.
Foundation in Science • First Class Honours, CGPA 3.77 • March 2015 - March 2016
Foundation programme for STEM prospects. Cultivated strong critical thinking and research skills during the course of this programme with modules such as critical thinking and research practices. Initial exposure to programming and databases using Visual Basic and MySQL. Built up solid communication skills as well, as the modules in this course was extremely presentation-heavy.
Research and Development Intern • January 2020 - May 2020
Web Application Developer • March 2019 - September 2019
Intern • December 2018 - March 2019
Issued July 2020 • LinkedIn Learning
Credential ID: AThUP-JyJ_Bw0dnWfI2_uB8RSDTZ
Issued August 2020 • LinkedIn Learning
Credential ID: AY5j1OGzMuCqD_hxBYUdRxVAhlIU
As a Master's in Artificial Intelligence graduate from Munster Technological University, I have been exposed to the necessary knowledge
and expertise for AI development such as machine learning, deep learning, machine vision and natural language processing. As such, I have demonstrated
a competent understanding of AI and machine learning through my course.
I have also been exposed to a myriad of technologies and frameworks during the course of my Bachelor’s in Computer Science such as distributed programming
with Scala’s Akka framework, C# with SQLite, Memcached database, MongoDB, Ubuntu Linux, Digital Image processing with python and Android application development with Java.
Have also accrued industrial experience in online banking solutions development for both mobile and web platforms for Malaysia's 2nd largest bank (CIMB bank).
I was also involved in front end development projects in Malaysia for Life Insurance Association of Malaysia (LIAM) and Tabung Haji Malaysia. As such, I have
industrial experience in agile development, Java, Angular, Typescript, Javascript, HTML, CSS, Struts Framework, JSP, Cordova, Portlets, DB2 SQL, REST, JQuery,
SOAP, IBM WAS Console, Git, Gerrit and Jenkins.
MFCC (Mel Frequency Cepstral Coefficient) Audio Feature Based Music Genre Classification Using Machine Learning Models such as KNN, SVM, Random Forest etc.
Machine Learning, ClassificationThis research focuses on leveraging existing Augmented Reality (AR) technologies such as the Microsoft HoloLens to improve object visibility and distinguish-ability for users suffering from Glaucoma in indoor areas of low color contrast, with stairs being the main object of focus in this project.
Python, Deep Learning, Object Detection, UnityWord guessing game with local LAN multiplayer implemented using Scala and Akka. A player can host a room and players within the same local Wifi connection can join a hosted room. First player to go through all 5 rounds of wordGuesser wins.
Scala, AkkaPresented an algorithm for playing card rank counting and winner classification in a game of black jack which is robust enough to perform rank counting and determining the winner in a game of black jack with moderate card rotation and partial occlusion efficiently.
Python, OpenCV, Perspective Correction, Template MatchingIMDB user review classification using naive bayes implemented from the ground up. Dataset used contains negative and positive reviews. Implementation managed to obtain accuracy rate of 87.35% in classifying negative and positive reviews.
Python, Machine Learning, Naive BayesFinal year project for Bachelor's in Computer Science. An indoor navigation system approach without prior knowledge or device requirements was proposed and implemented. Users of the system need only a taken photo of a directory map and directory lot listing for navigation to take place. The system is achieved through implementation of perspective correction, text recognition, lot segmentation with labeling, and routing techniques.
Python, OCR, A* Algorithm, OpenCVCosmetic product POS system implementation done using C#. Supports 3 account types (Admin, Manager, Employee) which unlocks or blocks certain functions within the program.
C#, SQLite, GUIBaseline implementation and analysis of softmax classifier with ReLU and regularisation techniques using vanilla tensorflow, as well as an analysis and implementation of various ensemble convolutional neural network models
Python, Deep Learning, CNN, Tensorflow, KerasAbove are just a selection of some of the works I have done. You can check out all of my works at my Github page here.
I’m open to opportunities – especially in software development, machine learning and web development focused roles. However, if you have other requests or questions, please don’t hesitate to use the form or contact me via mobile!