Michael Rasicci
Data ScientistOhio, United StatesMember since June 24, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DSPLab
April 10, 2026 – Present
DSP Lab is an audio-focused C++ prototyping environment for developing, auditioning, visualizing, and exporting DSP algorithms with minimal distance between experiment and production code.
View ProjectMotif
March 2, 2026 – Present
.NET library and CLI tool for reading and writing Guitar Pro and other musical transcription files.
View ProjectMotifML
March 2, 2026 – Present
MotifML is a reproducible machine learning pipeline for training models to analyze and generate polyphonic musical sequences.
View ProjectFirewind
February 28, 2026 – Present
A data-driven Blazor component library built with TailwindCSS and DaisyUI.
View ProjectTyrantGameEngine
August 7, 2025 – Present
Tyrant Game Engine is an opinionated, inversion-of-control game framework that enforces clean architecture, minimizes boilerplate, and gives you absolute command over your game’s systems.
View ProjectTailwind.MSBuild
December 7, 2022 – Present
Fast & Simple TailwindCSS integration for .NET projects
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration across various domains (game engines, audio processing, web components, machine learning). This indicates a self-starter mentality and a passion for technology. However, the majority of projects are in C++ and Rust, with only one directly related to machine learning (MotifML) and Python, which is the primary language for Data Scientists. The candidate's experience level is 0, suggesting a lack of professional experience, which might impact immediate cultural integration into a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear and concise, indicating good written communication.