
building
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SwiftCompute
Data Scientist
June 21, 2026 – Present
voice-ai-host
March 28, 2026 – Present
Production-ready voice AI agents for restaurants, retail & clinics using Gemini 3.1 Flash Live + Pipecat.
View ProjectAFL-Player-Performance-Analyzer
December 16, 2024 – Present
The AFL Player Performance Analyzer is an open-source project aimed at revolutionizing AFL analytics using modern machine learning and AI techniques. This project analyzes player performance over the past two seasons, focusing on key metrics like goals, disposals, player matchups, injury prediction, and game/team impact.
View ProjectML-Algorithms
July 3, 2024 – March 16, 2025
A collection of machine learning algorithms in Python, including supervised, unsupervised, reinforcement learning, and deep learning, with Jupyter notebooks.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate initiative in exploring various AI/ML applications. However, the breadth of technologies and project types is somewhat limited, focusing heavily on Python and ML algorithms. The 'voice-ai-host' project shows an interest in productionizing AI, which is a positive indicator for practical application. The candidate's experience level is listed as 0, which contradicts the current Data Scientist role, suggesting a potential discrepancy or very recent entry into the role. This makes it difficult to fully assess cultural fit without more context on their work environment and collaboration experiences.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.