Hello,
I am Alexander.

Hello,
I am Alexander.

I recently graduated from the University of Toronto where I studied machine learning and AI. I am currently working on a few exciting projects in the space!

*** I am open for full time opportunities for 2024 ***

About Me

I recently graduated from the University of Toronto where I studied machine learning and AI. I am currently working on a few exciting projects in the space!

*** I am open for full time opportunities for 2024 ***

Work Experience

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

Entrepreneurial Endeavors

I have been invovled in a few exciting projects in the past year or so since my co-op. 

Acai

Co-Founder / COO

Working on a ground breaking machine learning and AI tool for applicant screening in collaboration with Johns Hopkins University.

Waygo

Co-Founder

Waygo is an indoor maps platform featuring a versatile CMS, enabling the creation and management of digital maps tailored to all your event needs.

Republic X Hauskey

Coming Soon...

Project supported by Republic Developments and Hauskey / Condos Global.

Previous Experiences

Here are some companies I have worked for in the past!

Software Engineer (2022-2023)

Nasdaq

Multi Matching Engine Trading Connectivity Team

Maintaining and Building on Protocols

Using Java in an agile environment with the Matching Engine Trading Team to maintain and build new features into FIX, OUCH, ITCH and HURL (low-level ultra-low latency protocols). Developed and deployed into production end-of-day protocol message that aggregated all activity for the day for Dubai Gold & Commodities Exchange which allowed for 20% reduction in information retrieval time.

Low Latency, Secure, and Robust Code

Developing unit tests with JUnit and Mockito, ensuring secure, robust, and ultra low latency programming, and using Docker, and the Nasdaq Validator to test and validate.

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.

Education

University of Toronto (BASc in Engineering Science)

  • Machine Learning and Aritificial Intelligence Major
  • Engineering Business Minor

Upper Canada College (International Baccalaureate)

  • Top 5% of Class (2015-2019)
  • General Proficiency Award (2015-2019)