Devyn Miller - Machine Learning Engineer, Business Intelligence Researcher, and Adjunct Professor
ML Engineer & Researcher

Devyn Miller

Hi! I'm an AI researcher, economist, and engineer with a passion for using creativity and technology to solve complex problems. I never set out to study both behavioral economics and machine learning, but curiosity has a way of taking you places you never expected. Whether it's optimizing resource allocation or running game-theoretic simulations, I believe that technology should enhance human intelligence, not replace it (big Fei-Fei Li fan!). I am always curious and always building!

About Me

I have a passion for science and am fully immersed in the worlds of artificial intelligence, software engineering, and economics! My journey combines academic endeavors and hands-on development experience.

✨ Meet Mira! ✨

This is Mira, my coding companion and debugging expert! Her specialty is reminding me to take breaks by strategically placing tennis balls on my keyboard when I've been working too long. She's also an avid hiker who carries her own backpack on our trail adventures! 🐾

Off the Clock

Beyond the professional world, here's a glimpse into who I am when I'm not at my desk :)​

Education

Chapman University

Master of Science in Electrical Engineering and Computer Science

Emphasis: Intelligent Systems & Machine Learning

GPA: 4.0/4.0

Dec 2025

Master of Science in Behavioral and Computational Economics

Emphasis: Predictive Analytics & Decision Science

GPA: 3.92/4.0

Dec 2024

Activities

Senator and GRAD Coalition Representative on Graduate Student Association Executive Board
External Vice President of Artificial Intelligence Club
Beta Gamma Sigma
InterPhase Incubator Entrepreneurship Program

University of California, San Diego

Bachelor of Science in Business Economics

Sept 2023

Activities

Speech and Debate Team Member

Certificates

Deep Learning Certificate

deeplearning.ai • 2024

View Certificate

AWS Certified Cloud Practitioner

Amazon Web Services (AWS) • 2025

View Certificate

Google Advanced Data Analytics

Google • 2025

View Certificate

Microsoft Introduction to C++ Programming

Microsoft • 2026

View Certificate

GPU Acceleration with the C++ Standard Library

NVIDIA • 2026

AI Agent Fundamentals Accreditation

Databricks • 2026

Awards & Recognition

North OC Computer Club Scholarship Award 2025

North OC Computer ClubDecember 2025

Healthcare Track Winner & Hacker's Choice Award (3rd Place)

Chapman UniversityApril 2025

Outstanding Academic Performance - Beta Gamma Sigma

Beta Gamma SigmaMay 2024

Best Analysis Award - SoCal R Hackathon

Southern California R Users GroupApril 2024

Focus Areas

Machine Learning & Human-Centered AI

Developing intelligent systems that empower humans.

Software Engineering

Building robust and scalable applications with modern technologies.

Data Science

Uncovering insights and patterns in complex datasets.

Innovation

Always exploring new technologies and creative solutions.

Professional Experience

Irvine, CA • May 2025–Present

Big Data ML Engineer

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Santa Ana, CA • Feb 2025–Present
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Orange, CA • Aug 2023–Dec 2024
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Orange, CA • Dec 2023–Feb 2024

Tutor

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Anaheim, CA • Feb 2019–Oct 2023

Tutor, Teaching Assistant

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Palo Alto, CA • June 2021–July 2021

Stanford Summer Community College Premedical Scholar

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La Jolla, CA • Apr 2021–Jun 2021

Tutor

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Skills

Some of the tools I use and technical skills I'm developing!

Python

Programming • Data Science

Computer Vision

Data Science • Artificial Intelligence

AWS

DevOps

Apache Hadoop

Data Science

Deep Learning

Data Science • Artificial Intelligence

TensorFlow

Programming • Data Science

Apache Spark

Data Science

R

Programming • Data Science

SQL

Database

C++

Programming

Recent Projects

Explore my portfolio of data science and development projects, showcasing expertise in machine learning, statistics, and software development.All projects featured here were developed between 2024 and 2026.

Weak-to-Strong Generalization for Reranking

Weak-to-Strong Generalization for Reranking

Reference implementation for training a strong cross-encoder reranker on weak, noisy labels (BM25, a small distilled reranker, click logs) without teaching it to reproduce their mistakes.

PythonPyTorchMachine LearningDeep LearningHugging FaceInformation RetrievalPytest
Pet Segmentation MLOps Pipeline

Pet Segmentation MLOps Pipeline

End-to-end MLOps rebuild of a pet segmentation model with distributed training, model registry gating, Rust mask cleanup, and Kubernetes serving

PythonPyTorchFastAPIMLflowAirflowRustKubernetesMLOpsPyO3MaturinDockerMachine Learning
PR Blast Radius

PR Blast Radius

Polyglot static analysis tool that computes the "blast radius" of code changes — which downstream symbols could break when you modify a function signature, refactor a class, or update shared utilities.

GoPythonStatic AnalysisDevOpsAST ParsingDependency ResolutionPydanticMachine Learning
Clinical Data Ingestion Pipeline

Clinical Data Ingestion Pipeline

A production-grade, HIPAA Safe Harbor-compliant data engineering platform that ingests raw clinical imaging metadata and DICOM manifests from heterogeneous hospital networks (Cerner and Epic), unifies them via a PySpark Medallion architecture inside Databricks, and exports a fully de-identified, ML-ready Parquet dataset to an S3 Gold zone.

PythonAWSDockerDatabricksGitData ScienceMachine Learning
Video Colorization Using VGG16 Autoencoder

Video Colorization Using VGG16 Autoencoder

Deep learning system for automatic video colorization

PythonDeep LearningComputer VisionTensorFlowPandasMachine Learning
Image Colorization via Progressive GAN Training

Image Colorization via Progressive GAN Training

Generative Adversarial Network project

PythonDeep LearningComputer VisionNumPyMachine Learning
IoT BLE Audio Streaming System

IoT BLE Audio Streaming System

A hardware/software system for streaming audio over Bluetooth Low Energy using ESP32 and Arduino.

Bayesian vs Frequentist Analysis

Bayesian vs Frequentist Analysis

Comparative analysis of mental well-being effects using Bayesian and Frequentist approaches

RData Science

Games

Things I built for fun DSA practice! All playable in the browser.

WORDSORPNEEAAKHT

Wend 2.0

Playable here

Wend game from LinkedIn with a twist.

BacktrackingBFSGraph TraversalSetsHash Maps/Dictionaries
MineMerge screenshot

MineMerge

A Minecraft-themed version of 2048.

2D ArraysGrid ManipulationMerge Algorithm
Classic 2048 screenshot

Classic 2048

The original, with a theme system built in.

2D ArraysGrid ManipulationMerge Algorithm

Speaking & Media

Presentations, workshops, and speaking engagements on AI, personal development, and data science.

Weak-to-Strong Generalization for Better Retrieval and Reranking
Conference TalkAugust 2026

Weak-to-Strong Generalization for Better Retrieval and Reranking

Teams train models on weak, noisy signals every day and accidentally teach them to copy mistakes. A confidence-aware approach that lets a strong reranker disagree when it knows better.

Data Con LA

The Psychology of Neural Networks
PresentationDecember 2025

The Psychology of Neural Networks

Traces the 80-year journey of artificial intelligence, demonstrating how neural networks are rooted in human psychological theory from early mathematical neuron models to modern GPT architectures. Explores AI parallels to psychological principles like classical conditioning and attention, while examining profound differences including AI's lack of embodiment and the Symbol Grounding Problem.

North OC Computer Club

Cross-Disciplinary Advantage: Build a Data Career That Stands Out
Conference TalkNovember 2025

Cross-Disciplinary Advantage: Build a Data Career That Stands Out

Turn your mixed background into a hiring advantage. Learn how to translate domain expertise into data assets, design a portfolio that proves value, and communicate outcomes that solve problems others miss.

Data Con LA

How I Rebuilt Myself Like a Startup
Lightning TalkMay 2025

How I Rebuilt Myself Like a Startup

A presentation on personal transformation using startup methodologies and principles.

SoCal R Users Group

Human-Centered AI: Enhancing Human Capabilities
PresentationApril 2025

Human-Centered AI: Enhancing Human Capabilities

A comprehensive look at designing AI systems that augment rather than replace human decision-making.

North OC Computer Club

Research & Publications

Academic research and publications on cognitive science, communication health, and data science.

Poster
July 2025

Listening Fatigue and Communication Health in Deaf and Hard-of-Hearing Adults

Poster presented at CogSci 2025 examining how ASL proficiency, early language exposure, and language dominance relate to listening fatigue and communication health in Deaf and Hard-of-Hearing adults. Findings show that sign language use provides cognitive relief from fatigue and strengthens communication health and community belonging.

CogSci 2025

Contribution Log

Track my open source contributions and code activity on GitHub

GitHub Stats

Total Stars Earned:4
Total Commits (2025):284
Total PRs:15
Total Issues:6
Contributed to (last year):3

Most Used Languages

Python 72.61%
Jupyter Notebook 22.78%
HTML 1.90%
Cython 1.48%
Mathematica 0.75%
TypeScript 0.49%

Contribution Activity

Error – Fetching GitHub contribution data for "devyn-miller" failed.

Social Impact & Ethics

Designing technology that prioritizes people, not just performance.

Core Principles

Explainability > Raw performance
Support humans, don't replace them
Opt-in over opaque personalization

Writing

Recent samples of my technical writing.

  • Ethics of Game Theory-Based Debate Systems for Superhuman AI Alignment

    How can humans reliably oversee and align AI systems that consistently exceed human capabilities?

    Fall 2025

  • NSF Technical Proposal

    Technical framework for explainable AI in scientific applications.

    Spring 2025

  • Ethical Risk Assessment

    Assessment of ethical risks associated with AI-driven tools, cloud-based development, and humanoid robotics.

    Spring 2025

  • Machine Learning Applications in Contests

    Analysis of machine learning as it applies to contests in game theory.

    Spring 2024

Currently Building & Learning

Actively expanding technical depth through certifications, core projects, and applied research.

AWS Solutions Architect Associate

Studying for the AWS SAA certification to deepen cloud architecture expertise.

In Progress

Blog

Thoughts, stories, and ideas from my journey through tech, economics, and life.

A Commencement Week Reflection
2025-05-314 min read

A Commencement Week Reflection

Reflections on a week of celebration, transitions, and personal growth during my graduation week.

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Navigating the Tech Job Market as a New Grad
2025-04-105 min read

Navigating the Tech Job Market as a New Grad

The realities of job hunting as a new graduate in the tech industry during 2025, including how to stay motivated and be strategic.

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Graduating with M.S. in Behavioral and Computational Economics: A Journey Through Experimental Economics
2024-12-158 min read

Graduating with M.S. in Behavioral and Computational Economics: A Journey Through Experimental Economics

Reflecting on my journey through Chapman University in the M.S. in Behavioral and Computational Economics program, combining experimental economics with cutting-edge computational methods.

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Building My Personal Portfolio Website
2024-11-214 min read

Building My Personal Portfolio Website

The creation of my personal portfolio website, technologies used, and personal growth that came with building a digital home :)

Read More →

Get in Touch

Contact Information

CA, USA

Let's Connect

I'm always interested in new opportunities, collaborations, and connecting with fellow data scientists and researchers.

Please reach out if you'd like my resume, or you can view my general resume below:

View General Resume