Wyatt Avilla

Data Scientist

https://talent.gravityer.com/wyatt-avilla

SJSU

Key Strengths

Proficiency in Rust and Python, demonstrated across multiple personal projects.
Experience with Nix for development environment management, indicating a focus on reproducible builds.
Exposure to machine learning concepts through the 'sunbird' project, which involves training pipelines for ML models.
Current role as a Data Scientist at SJSU, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal, open-source contributions and a preference for specific technologies like Rust and Nix. While this demonstrates initiative and technical depth, the diversity of projects outside of these core technologies is limited. The single professional experience as a Data Scientist at SJSU aligns with the target role, but the lack of other professional experiences or team-based projects makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

cli

February 6, 2026 – Present

Command-line interface for the Circuit Breaker Labs API

View Project

circuitbreakerlabs-python

November 26, 2025 – Present

Python Client for the Circuit Breaker Labs API

View Project

actions

November 26, 2025 – Present

GitHub Actions for Circuit Breaker Labs

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sjsu-cmpe180b-f25

August 21, 2025 – December 10, 2025

sjsu-cmpe180b-f25 — GitHub repository

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claude-discord-bot

August 3, 2025 – Present

Talk to Claude in Discord

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rainworld

July 21, 2025 – Present

houseplant remote management and automation

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hypha

June 25, 2025 – August 31, 2025

Type-safe REST API for monitoring Systemd services and accompanying ESP32 client firmware

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py-combinator

May 7, 2025 – June 19, 2025

Python library with Rust bindings for statically typed iterator combinators

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sunbird

September 4, 2024 – September 23, 2024

Training pipeline for software decompiliation oriented machine learning models

View Project

resume

July 26, 2024 – Present

Typst resume built with Nix

View Project

Key Strengths

Proficiency in Rust and Python, demonstrated across multiple personal projects.
Experience with Nix for development environment management, indicating a focus on reproducible builds.
Exposure to machine learning concepts through the 'sunbird' project, which involves training pipelines for ML models.
Current role as a Data Scientist at SJSU, aligning with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Wyatt Avilla

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit