Hello, I'm Chelsie, a software developer with 3+ years of experience focused on clean code and scalability. My work is fueled by problem-solving and continuous learning.
About me
My journey kicked off at Concordia University, where I dove deep into Computer Science, graduating with distinction. It wasn't just about the lectures; I was hands-on, balancing between co-op positions that took me from quality assurance at Matrox to
full-stack development at Intact. I even explored the world of neuroscience and deep learning research at Concordia University. You'll now find me building and optimizing as a
Software Developer at SAP, where I'm constantly determined to make code cleaner, processes faster, and teamwork smoother.
But who am I beyond the code and tech?
I find my rhythm through dance, the gym and flexibility training. I thrive on learning, teaching myself new dances, and enhancing my strength, and flexibility. This balance between the technical and the artistic fuels my creativity and drive, both in and out of the workplace.
My experience
Software Quality Assurance Intern
Matrox
I started by developing test cases, finding and debugging bugs, and later had the opportunity to mentor interns.
May 2020Software Developer Intern
Intact
Next, I built a web app with Angular, Spring Boot, and MongoDB to enhance incident tracking, a challenge that refined my full-stack development skills.
Jan 2021Backend Developer Intern
Intact
I then shifted focus to backend development, designing policy rules with Java and Spring Boot, making significant contributions to the team.
Jan 2022Research Assistant
Concordia University
My curiosity took me to neuroscience and deep learning, contributing to a paper on Parkinson's Disease using Python and data science tools, a journey that enhanced my technical skills.
July 2022Graduated from Concordia University
Bachelor of Computer Science
After four years of study, I graduated with distinction and completed three internships.
Oct 2022Software Developer
SAP
I'm currently engaged in a project committed to writing clean and efficient code. This path has been marked by continual learning and growth, as I eagerly look forward to where my next journey will take me.
Apr 2023 - PresentMy projects
Fuzzy FastSurfer
A study on the stability of FastSurfer involved adding perturbations with Fuzzy, resulting in zero variability.
- Python
- FastSurfer CNN
- Fuzzy
- Docker
- Google Colab
InstaSpot
A travel recommendation system based on Instagram posts using content-based and collaborative filtering, achieving a 0.0187 root mean square error.
- Python
- PySpark
- Jupyter Notebook
BitByteBeat
A music genre classification bot that uses CNN and RNN maching learning models to identify the genre of music from a YouTube video link.
- Python
- TensorFlow
- Keras
- Jupyter Notebook
Pneumonia Study
A study on the Pneumonia MNIST Dataset using small sample learning techniques, both with and without external data, using just 10 sample data points.
- Python
- PyTorch
- Google Colab
Anime Search
A search engine for Animes, includes a cross-searching feature to refine search queries.
- Python
- Flask
- Vue
- Bootstrap5
- Elasticsearch
CleverICE
A web app to automate the insurance claim process for the best customer satisfaction by automatically extracting relevant fields from a claim letter.
- Angular
- Python Flask
- OpenAI
- Google Vision OCR
Best Before
A web app to track the expiry dates of products by receiving emails about upcoming expiries.
- Python
- Flask
- Vue
- Google Vision AI
- OpenCV
- Barcode Lookup API
Eternity
A scientific web app calculator featuring custom mathematical functions and constants, dark mode, tooltips, and a history-saving answer button.
- Python
- Django
- Vue
- UIKit
- JQuery
My Skills
Python
Java
HTML
CSS
JavaScript
TypeScript
MySQL
Angular
Vue
Bootstrap
MongoDB
ElasticSearch
Flask
Django
Spring Boot
Jupyter
NumPy
Pandas
Matplotlib
Scikit-learn
PyTorch
Apache Spark
GitHub
Docker
Jenkins
Linux
Postman
Lucidchart
Jira
ChatGPT
Node.js
Next.js
React
Tailwind CSS
Vercel
Contact me
Please contact me directly at hey@chelsieng.me or through this form.