Hello,
I am Alexander.

I am currently a third year student at the University of Toronto studying machine intelligence and business.

Hello,
I am Alexander.

I am currently a third year student at the University of Toronto studying machine intelligence and business.

I am currently looking for opportunities for summer 2023 and beyond.

About Me

I am pursuing a Bachelor of Applied Science in Engineering Science with a Machine Intelligence Major, and Minor in Engineering Business at the University of Toronto. 

*** I am currently looking for full time opportunities for 2024 ***

Highlight of

Skills

A brief summary of my skills in engineering, and business.

Programming

Knowledge of Computer Science fundamentals (object-oriented design, algorithm deigns, data structures, problem solving, and complexity analysis), as well as operating systems, machine learning, AI, and neural networks.

Other Tools

Extensive experience in working with Excel and other Microsoft Office apps in both academic and coorporate contexts. Proficient with film production and photography.

Communication

Effective communication in a team environemnt both in-person and virtually.

Education

University of Toronto (BASc in Engineering Science - Machine Intelligence)

  • 3x Dean’s Honour List | 2020 Winter, 2020 Fall, and 2021 Winter
  • Faculty of Applied Science and Engineering Admission Scholarship

Upper Canada College (International Baccalaureate)

  • Top 5% of Class (2015-2019)
  • General Proficiency Award (2015-2019)
Upper Canada College Graduation Ceremony (2019)

Work Experience

My current interests are in applying my AI and business knowledge and experience in new areas.

Software Engineer (2022-2023)

Nasdaq

Multi Matching Engine Trading Connectivity Team

Maintaining and Building on Protocols

Using Java in an agile environment with the Multi Matching Engine Trading Connectivity Team to maintain and build new features in FIX, OUCH, ITCH and HURL protocols central to Nasdaq’s technology that powers more than 250 of the world’s infrastructure organizations, regulators and market participants in over 50 countries.

Low Latency, Secure, and Robust Code

-Setting the architecture and code quality for the products both on distributed storage and cloud through secure, ultra low latency programming. Ensuring service operability by implementing proper security, monitoring, and alerting based on the Nasdaq Operating Environment. Building automated tests to ensure robustness of the product.

Machine Learning and Healthcare (Summer 2022)

Sunnybrook Research Institute

Using deep learning and traditional machine learning approaches to analyze medical ultrasound images.

Deep Learning

Transfer learning from several pre-trained networks. Pre-trained models include VGG19, InceptionV3, Xception, and EfficientNet. The Keras Tuner was implemented for automatically searching for an optimal set of hyperparameters. This was initially implemented with Bayesian Optimization, but later implementing with Hyperband search for faster performance of the tuner.

Traditional Machine Learning

Several classifiers were implemented using an imd pipline. Optimal set of hyperparameters for each classifier was automatically search for by implementnig the SKlearn Keras Tuner. Performance of each classifer was compared after training each on their respective optimal set of hyperparamters.

Machine Learning and Healthcare (Summer 2021)

Sunnybrook Research Institute

Radiomic analysis of CT and MRI scans using machine learning to predict treatment response and clinical outcomes in cervical cancer patients.

*Patient Information is not shown due to confidentiality reasons*

SunnyCare

Using SunnyCare (Sunnybrook Hospital's Clinical Information System), determined whether the patient was eligiable to be included in the study.

Python

Feature extraction from NIfTI files with Python. Program outputs were generated on Excel. for easy interpretation of the result.

Certificates

Pinnacle

Filtering through patient data and acquiring medical imaging and the corresponding segmentations on Pinnacle (radiation oncology treatment planning system).

MATLAB

Organized and converted DICOM folders exported from Pinnacle into NIfTI files. There were 3 versions of the program written, which addressed different types of medical imaging that were available for a given patient.

Production Advisor (Summer 2021)

Enbridge

Working with the technical training team. Primarily responsible for assisting with the development of technical training content.

*Examples are not shown due to confidentiality reasons*

Data Management

Merging the Enbridge and Union Gas servers to one server, and fixing over 200 corresponding instances of various training tools and content in presentations.

360 Content

Researching and experimenting 360 VR content that would pioneer a new generation of immersive and interactive training content. Produced an interative proof of concept from start to finish.

Certificates

Production

Developing story boards from training manuals, filiming on site, and editting. Developed a training video from start to finish which got approved and implemented.

Quality Assurance

Testing newly developed training content for user friendliness, bugs, and more.

Research

Conducting needs assessments, and evaluating the effectiveness of training material.

My Interests

The Things I Love.

Over the years, living in Texas, Korea, Vancouver, and Toronto, I have a diverse set of interests. Some are more serious than others.