Nathan Humphries

I'm Nathan

I architect neural networks, autonomous AI, and complex software systems.

I leverage a rigorous analytical background in astrophysics to engineer intelligent software

Resume

Skills

Languages

Python C# SQL Java C++ Lua

AI/ML & Libraries

PyTorch LLM Orchestration Scikit-Learn FastAPI SciPy/Pandas

Infrastructure

Docker Google Cloud PostgreSQL Unity Git

Engineering Projects

Deep Reinforcement Learning Agent

PyTorch · Python · Lua IPC

  • Engineered a deep-learning agent capable of autonomously navigating and solving a deterministic roguelike deckbuilder to completion.
  • Built a custom Lua integration to extract raw game state memory via Inter-Process Communication (IPC).
  • Developed a Python backend to vectorize board states, evaluating hundreds of action-state pairs per turn using a custom PyTorch neural network.
  • Applied temporal penalty discounting to solve the credit assignment problem across extensive, multi-phase decision sequences.
Machine Learning
Source Code
In Progress

Real Time Environment Interface

C# · Python · Unity · WebSockets

  • Architected a low-level Python interface to bridge real-time multiplayer engine memory with an external programmatic environment.
  • Built a custom C# Unity Engine plugin to pipe data to and accept commands from the Python interface.
  • Engineered a custom JSON command-line interface using WebSockets to execute high-speed, programmatic inputs directly into the engine.
  • Currently designing an asynchronous high-level parser to sanitize non-deterministic outputs from concurrent LLM APIs into executable commands.
Systems Architecture
Source Code

Computer Vision Classification API

Transfer Learning · GCP · UI/UX

  • Trained and deployed a transfer learning neural network for image classification.
  • Engineered an interactive front-end handling user image uploads, automated resizing, and pre-processing.
  • Deployed the live model API to Google Cloud Run, establishing automated web scraping and database management pipelines for training data collection.
Machine Learning
Source Code

Java Systems & API Expansion

Java · API Integration

  • Developed a comprehensive backend logic expansion for Slay the Spire, engineering complex mechanics involving real-time exponential scaling functions and probabilistic event triggers.
  • Integrated custom codebase into base game loop, packaging and deploying the software to a live user base.
  • Currently supporting 86 active concurrent users and 287 total deployments.
Backend Logic
Live Deployment

Global Population Projector

Python · SciPy · Optimization

  • Built a data-driven forecasting tool to model demographic trends utilizing a generalized logistic function.
  • Implemented a custom Minimax optimization loop in Python to minimize maximum relative error across non-linear historical datasets.
Statistical Modeling
Live App Source Code

Video Sorter

Python · FFmpeg · Docker

  • Engineered a real-time audio-visual processing pipeline that deconstructs video into individual frames.
  • Analyzed Root Mean Square (RMS) volume of corresponding audio segments to sort frames by intensity and re-render the final output.
Multimedia Processing
Live App Source Code

Experience & Education

Professional History

Market Research Analyst

Evans Data Corporation

06/2022 - Present
  • Authored analysis for semiannual syndicated reports on AI/ML, DevOps, cloud computing, and developer relations.
  • Engineered Python and VBScript automation scripts to exponentially accelerate the company-wide data visualization process.
  • Architected surveys and processed raw data into actionable visuals using SPSS and Excel.
  • Delivered custom insights to high-profile clients including Intel, AWS, Amazon, AMD, and Snap.
  • Led the Global Development Insights webinar as the public face and voice of the organization.

Learning Support Specialist

University of California, Santa Cruz

10/2020 - 03/2022
  • Led small-group instructional sessions for college-level single-variable calculus, multivariable calculus, and electrodynamics.
  • Translated complex quantitative concepts into accessible frameworks to empower student success.

Intern

Aqaix

06/2021 - 03/2022
  • Maintained frontend web database and architected the recording environment for the company podcast.

Academic Background

B.S. in Astrophysics

University of California, Santa Cruz

Class of 2022

Notable Coursework

  • Advanced Astrophysics Laboratory
  • Fourier Analysis & Partial Differential Equations
  • Quantum Mechanics
  • Linear Algebra & Ordinary Differential Equations
  • Electrodynamics
  • Particle Astrophysics

Connect

I am actively looking for new opportunities. Whether you have a question or just want to say hi, my inbox is open.

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