
ML Grad Student @ University of Manitoba interested in all things AI/ML: Diffusion Models, Dataset Synthesis, Code Generation, and Federated Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Manitoba
Game Developer
June 29, 2026 – Present
computer-vision-demo
February 18, 2026 – Present
computer-vision-demo — GitHub repository
View Projectsynthetic-image-caption-generator
January 15, 2026 – Present
An LLM-powered dataset-aligned caption generator for downstream synthetic image generation.
View Projectrgb-to-segmentation
December 22, 2025 – Present
A Python package for processing and cleaning segmentation images.
View Projectlora-weight-utils
October 14, 2025 – October 14, 2025
A set of utilities for dealing with LoRA weights. Specifically built for large diffusion models.
View Projectalexsenden.com
August 28, 2025 – September 5, 2025
Code repository for my personal website, alexsenden.com
View Projectfunrun2023.github.io
April 5, 2023 – April 8, 2023
funrun2023.github.io — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering web development, AI/ML, and some C++ work. The target role is 'Game Developer', and the candidate has one current role listed as 'Game Developer' at the University of Manitoba, which directly aligns. The breadth of technologies used (C++, Python, TypeScript, JavaScript, GLSL) suggests adaptability. However, the projects are all personal, and there is no information on collaborative work or team dynamics, which are crucial for cultural fit in a professional setting.
Soft Skills & Operational Fit
The candidate's project history suggests a proactive and self-driven individual. The variety of personal projects indicates curiosity and a willingness to explore different technical domains. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional context.