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MSc Computer Science @ UHManoa BASc Engineering Physics @ QueensU
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ANNalyze
May 17, 2026 – Present
Comparative evaluation of IVF, HNSW, and LSH approximate nearest neighbor indexes across dataset scale, dimensionality, and hyperparameter tradeoffs using FAISS.
View ProjectDKI_InductiveBias
May 16, 2026 – Present
A comparative study of microbial keystone species identification across deep learning architectures to evaluate the DKI framework against model inductive bias.
View Projecthuman_enhancer_detection
November 24, 2025 – December 22, 2025
Research project focused on attention-based deep learning models for detecting enhancer regions in human genomic sequences
View ProjectGroundUpModels
September 10, 2025 – September 10, 2025
A collection of core machine learning algorithms developed from scratch in Python/NumPy and associated tutorials.
View Projectcompton_scattering
February 25, 2025 – February 27, 2025
compton_scattering — GitHub repository
View Projectzeeman_effect
January 21, 2025 – February 5, 2025
Data analysis and image processing for a physics experiment of the Zeeman effect in Python
View Projectkingston_rain_forecasting
January 20, 2025 – January 20, 2025
Machine learning framework for training, validating, and hyperparameter optimization to predict if it will rain in the next hour in Kingston, Ontario.
View Projectasl-translation-glove
October 1, 2024 – December 11, 2024
Software + Documentation of my Machine Learning ASL Translation Glove Capstone Project @ Queen's University
View Projectnext-generation-team-5
February 10, 2024 – February 15, 2024
next-generation-team-5 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal, indicating a strong self-driven learning approach. The diversity of projects (ASL translation, genomic sequence analysis, approximate nearest neighbors, forecasting) suggests an adaptable and curious individual. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.