Mortality Predictor for Hospital Patients
Sept 2022 - May 2023
(TensorFlow, scikit-learn, Numpy)
- Expertly handled MLP and SVM models with MIMIC III patient data.
- Achieved a solid 80% accuracy in predicting patient mortality using patient information.
- Balanced the dataset by replicating scarce labels effectively. before convolution during training.
Image De-Mosaic
Jan 2023 - May 2023
(PyTorch, Numpy)
- Trained deep learning models to fix blurry clothing images.
- Tested and analyzed different neural network setups, achieving impressive results.
- Boosted image restoration accuracy by adding a max pooling layer before convolution during training.
Simulate Unix Shell
Jan 2021 - May 2022
(C)
- Developed a robust C program for a shell interface.
- Improved user command execution by separating processes for efficiency.
- Introduced a valuable history feature.
- Enabled users to conveniently access and execute previous commands.
- Empowered users to run processes concurrently.
- Optimized task management and productivity within the shell.
2048
Jan 2020 - May 2021
(Java)
- Engineered a user-friendly GUI with customizable board sizes.
- Authored a detailed software specification for project clarity.
- Implemented JUnit testing for robust functionality.
- Employed the MVC pattern for organized, scalable code.
Social Media Website Like Twitter
Jan 2019 - May 2020
(Django, HTML, CSS, JQuery, Javascript)
- Developed the backend for a Twitter-like social platform using Django.
- Engineered user authentication, profiles, and friend lists for a streamlined user experience.
- Catalyzed user engagement through dynamic post submission and likes functionality.
- Enhanced user experience by creating a robust and user-friendly backend system.
Acknowledgement: The website design is largely inspired by Dr. Kevin Leyton Brown's website,
who is also a McMaster alumnus. Last updated July 2023