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Hello! My name is

Boris Wang

Photo of Boris

About Me

Currently based in: Vancouver, Canada

I'm Boris, a student majoring in Computer Science at the University of British Columbia.

I specialize as a full-stack web developer and mobile developer with an deep interest in machine learning and AI.

When I'm not programming, I love to play video games, go to the gym, and play badminton with my friends.

Programming Languages

C

Proficient

C++

Experienced

Java

Proficient

Javascript

Experienced

Python

Experienced

Typescript

Proficient

C

Proficient

C++

Experienced

Java

Proficient

Javascript

Experienced

Python

Experienced

Typescript

Proficient

C

Proficient

C++

Experienced

Java

Proficient

Javascript

Experienced

Python

Experienced

Typescript

Proficient

C

Proficient

C++

Experienced

Java

Proficient

Javascript

Experienced

Python

Experienced

Typescript

Proficient

Frameworks and Libraries

Express

Proficient

Git

Experienced

NextJS

Experienced

NodeJS

Proficient

React

Experienced

Pandas

Proficient

Express

Proficient

Git

Experienced

NextJS

Experienced

NodeJS

Proficient

React

Experienced

Pandas

Proficient

Express

Proficient

Git

Experienced

NextJS

Experienced

NodeJS

Proficient

React

Experienced

Pandas

Proficient

Express

Proficient

Git

Experienced

NextJS

Experienced

NodeJS

Proficient

React

Experienced

Pandas

Proficient

Experience

Softwate Developer

September 2023 - Present

UBC Launch Pad  |  Vancouver, BC (On-site)

• Collaborated closely with designers and developers, contributing to design improvements, feature implementations, and ensuring cohesive teamwork while following AGILE development principles.

• Developed a scaleable and responsive mobile application using React Native, Flask, and Firebase, leveraging JWT and OAuth for secure user authentication.

Technologies:  

TypeScript, ReactJS, Firebase, ExpressJS

Data Science Intern

May 2024 - August 2024

Tech Bytes Foundation  |  Vancouver, BC (Remote)

• Conducted in-depth research to identify the essential data analytics skills required by undergraduate students, utilizing insights to guide the creation of specialized datasets and queries.

• Completed several data science and machine learning courses, developing projects focused on real-world applications such as predictive analysis, customer segmentation, and data processing methods.

Technologies:  

Python, NumPy, Bokeh, Scikit-learn

Summer Intern

Jul 2022 - Aug 2022

University of Alberta  |  Edmonton, AB (Remote)

• Studied and researched the application of using word embeddings and natural language processing on learning with university professors and interns, utilizing Python, spaCy and NLTK to implement these concepts.

• Coordinated project development with fellow interns and supervisors by delegating specific roles and tasks to my group members to reach our short- and long-term goals.

Technologies:  

Python, Flask, NLTK, spaCy, Gensim, NumPy

Projects

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Fake Store Website

ReactJS
Node.js
Express
MongoDB
Stripe

Try shopping at an e-commerce store without fear of shopping at a real one! Do all the things you would do on a normal shopping site like creating an account, add items to your cart and purchase items.

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ArgTrack

JavaScript
React Native
Supabase
PostgreSQL

Keep track of your arguments with your friends and family! Monitor how much time has passed since your last argument, record your arguments, and review them for a stronger and healthier relationship!

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Ultimate Siegery

TypeScript
React
Next.js
PostgreSQL

Ultimate Siegery is an app that helps spice up your already unpredictable experience playing Rainbow Six Siege by taking control over your operator selections and load-outs. Select any of the game modes that are presented, filter your operators and choose your starting side, then let chance decide how your play you next match of Siege!

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Regression Analysis of Wind Turbines

Python
Numpy
Scikit-Learn
Pandas
Bokeh

A machine learning regression model that predicts the electrical output of wind turbines. Utilizing the characteristics of wind turbines from 1983 to 2021, I trained a variety of regression models to test and visualize the accuracy of different models.

03:41Monday, September 16

Contact Me

Interested in collaborating or want to reach out? Feel free to contact me and I'll get back to you as soon as possible!