Summary
Overview
Work History
Education
Skills
Certification
Timeline
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Kameron Bustos

Computer Science, Artificial Intelligence
Orland Hills,IL

Summary

I am a Computer Science enthusiast actively pursuing a Master's in Artificial Intelligence. I am known for my strong work ethic and dedication, consistently giving my very best. Fueled by a deep passion for software engineering and AI research, my school recognized my contribution by publishing my work, which centers around creating earthquake predictions using my custom AI model and dataset.

Overview

7
7
years of professional experience
5
5
years of post-secondary education
1
1
Certification

Work History

Artificial Intelligence Software Engineer

Archive360
06.2024 - Current
  • Gained hands-on experience in data governance and records management by working with a leading software platform used by financial, government, and enterprise organizations to archive big data in compliance with regulatory requirements.
  • Conducted extensive research and developed Python-based code to analyze Microsoft Copilot Studio's core features and capabilities, identifying innovative use cases for integration with Archive360's solutions.
  • Created and delivered a persuasive PowerPoint presentation to the executive leadership team, including the CEO, CTO, CRO, CMO, and Product Management, driving the adoption and successful development of a new product idea.
  • Developed a machine learning model leveraging structured HR data and unstructured digital communications, incorporating predictive analytics, anomaly detection, and sentiment analysis to derive actionable insights.
  • Developed and deployed Jupyter notebooks to load datasets into Apache Hive.
  • Designed and built interactive dashboards using Apache Superset, delivering actionable insights through data visualizations.

Student Researcher

Saint Louis University
03.2023 - 05.2023
  • Developed predictive models to forecast the magnitude and type of seismic events using geological and seismic attributes.
  • Utilized three distinct machine learning models: Rule-Based Classifier, K-means Classifier, and Support Vector Machine to address complex data analysis tasks.
  • Used Python to categorize data into two distinct categories: one dedicated to capturing spatial patterns through Location-Based features and the other focusing on seismic characteristics, focusing on energy and intensity aspects.
  • The research initiative was dedicated to expanding our knowledge of seismic events, directly focusing on enhancing disaster prediction and early warning systems for improved safety measures.

USA Hockey Official

USA Hockey
08.2017 - Current
  • Enforced safety rules to protect players from game injuries.
  • Upheld gameplay practices and league requirements for refereed games.
  • Assessed game penalties for rule violations and ejected players with serious conduct violations.
  • Explained and taught regulations and rules to players and coaches.
  • Notified players, coaches and officiating team of rule infractions and relevant penalties.
  • Trained and mentored new referees and other sports officials.

Education

Bachelor of Science - Computer Science

Saint Louis University
St Louis, MO
05.2021 - 05.2024

Master of Science - Artificial Intelligence

Saint Louis University
St Louis, MO
05.2023 - 12.2024

Skills

    Python, Java

    C, Rust, R

    Machine learning

    Neural Networks

    Algorithms and data structures

    Data processing

    Scrum methodology

    Team collaboration

Certification

In Progress: Python Certification

Timeline

In Progress: Python Certification

02-2025

Artificial Intelligence Software Engineer

Archive360
06.2024 - Current

Master of Science - Artificial Intelligence

Saint Louis University
05.2023 - 12.2024

Student Researcher

Saint Louis University
03.2023 - 05.2023

Bachelor of Science - Computer Science

Saint Louis University
05.2021 - 05.2024

USA Hockey Official

USA Hockey
08.2017 - Current

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Kameron BustosComputer Science, Artificial Intelligence