
Developing You-ARe-Ok (YARO)
Deploying a mobile application using .NET, REST, Unreal Engine, and C# that enables users to chat with an AI bot for daily wellness advice
Hello, I'm
Computer Science and Bioinformatics Student
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Software Engineering
Machine Learning
Artifical Intelligence
Research
B.Sc. at University of Alberta
Computer Science
Bioinformatics
4.0 GPA
Welcome to my portfolio! I'm a Computer Science major with a minor in Bioinformatics from the University of Alberta. Proficient in Python, Java, and C#, I'm deeply immersed in the realms of Machine Learning and Artificial Intelligence. From crafting Generative AI at Huawei Technologies Canada Co. Ltd., building ChatBots at The Metabolomics Innovation Centre, to developing Convolutional Neural Networks as a researcher at UAlberta, I've honed my skills in cutting-edge technologies. Additionally, my journey includes hands-on experience in Software Engineering, having contributed as a Software Developer at My Viva Inc., crafting mobile applications, and as a Developer at the Rehabilitation Robotics Laboratory. Through these experiences and my personal projects, I'm constantly fueled by the pursuit of knowledge and challenges, eager to embark on new endeavors and make meaningful contributions.
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Deploying a mobile application using .NET, REST, Unreal Engine, and C# that enables users to chat with an AI bot for daily wellness advice
Developing using a vectorized database created by dieticians and Retrieval-Augmented-Generation (RAG) alongside GPT for summarization
Fine-tuning LLMs, including Llama3, to perfrom information extraction from scientific research articles
Running Fine-Tuned model on PubMed corpus and increasing the domain and size of ChemFOnt's Knowledge Graph
Evaluating model performance using Precion, Recall, F1-Score, and Jaro-Winkler Similarity in addition to novel metrics I developed
Optimized using techniques such as pruning, knowledge distillation, and step-distillation to achieve 89% latency improvements
Using scikit-learn and PyTorch to visualize and inject attention maps to build a novel model for cellular deployment
Authoured scripts to prepare fine-tuning datasets (>13 million) and FID, CLIP, and HDI evaluation scripts
Developed a CNN to predict antigenicity based on amino acid sequence of Influenza A virus using Python
Currently being used to create a system to determine the best vaccine for upcoming flu seasons
Scraped NCBI for 285 sequences and trained model to achieve an Accuracy and F1-score of 94 and 97 respectively
Prepared analytic data for visualization using Excel and R to be used in research paper drafts
Improving Patient Adherence to Therapies for Patients with Acquired Brain Injury Using Augmented Reality
Utilizing Photon Engine 2 and C#, engineered scripts to elevate user experience and augment application functionality, integrating essential components
Developed application using Unity and tested on a Windows Hololens 2
Used Unity and PyMol to create animations for biological processes that will be used in cell biology courses at the University of Alberta
Organized and filmed an advertisement video while directing 28 students and university staff
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