Hayden H.

Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

Facial recognition for cybersecurity and AR

Computer Science - Colorado School of Mines B.S (in-progress)

AI job recommender for students (personality test matching)

Top Data Types

Video

Text

Image

Top Task Types

Entity (NER) Classification

Question Answering

Prompt + Response Writing (SFT)

Freelancer Overview

Lucid AR Project — facial recognition program using OpenCV/Dlib (Python) combined with AI to bring up realtime data. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK) and Other. Education includes in-progress Bachelor of Science (Computer Science) Machine learning degree path, Colorado School of Mines (2029) and High School Diploma, Bountiful High School (2025). AI-training focus includes data types such as Video, Computer Code, and Programming and labeling workflows including Entity (NER) Classification, Question Answering, and Prompt + Response Writing (SFT).

Labeling Experience

AI Job Match — Ollama + Python recommender (1st place)

OtherTextPrompt + Response Writing (SFT)

In the same competition, you led an AI job recommender project to match students to roles using a personality test. You used Ollama and Python to generate recommendations and to support the underlying decision workflow. The project was evaluated as a winning AI/ML-oriented student solution in a multi-team event. • Personality-test-based student profiling • AI recommender logic using Ollama and Python • Generation of role/job matches from user inputs • Project leadership and delivery for a 1st-place outcome

2025 - 2025

Lucid AR Project — facial recognition program using OpenCV/Dlib (Python)

OpenCV AI Kit (OAK)VideoEntity (NER) Classification

In a SCRUM-based cybersecurity project, you built a facial recognition pipeline that analyzed video streams and returned live recognition results. You used OpenCV and Dlib to detect faces and associate recognized identities with relevant saved information. You integrated the system for deployment on Magic Leap AR goggles to support real-time use cases. • Video processing for face detection and recognition • Identity association with stored profile information • Live inference output displaying names and saved details • AR integration planning for on-device experience

2025 - 2025

Ken Garff E-sports competition — AI job recommender (May 2025)

Other

In an AI-focused student project, you created an AI job recommender solution using personality test inputs as the basis for matching. You used Python to implement the recommendation system logic and coordinate the team’s development efforts. The deliverable was recognized with a top award in the competition. • Input-driven matching workflow based on personality test results • AI-enabled recommendation implementation in Python • Team coordination and iteration to reach competition standards • Presentation and evaluation of the completed solution

2024 - 2025

AI Job Match & Pygame Racing — Pygame racer development (1st place)

OtherQuestion Answering

In an e-sports competition capstone, you developed a Pygame racing game that relied on advanced reasoning and in-game graphics. While the work was primarily software development, it directly involved building an AI-driven experience suitable for evaluation in a contest setting. The project emphasized rapid prototyping and performance-oriented implementation. • Rapid game development with AI reasoning elements • Building game logic and behaviors in Python • Iterating on gameplay and graphics for contest readiness • Delivering a functional prototype in ~48 hours

2024 - 2024

Education

Work History