[*]M.S. Artificial Intelligence // Oregon State University

Brandon Gill

AI Systems Engineer & Machine Learning Researcher

Graduate student at Oregon State University specializing in Machine Learning and Artificial Intelligence. Building scalable autonomous agent workflows, distributed LLM orchestration pipelines, and cloud-native infrastructure.

cli terminal

>curl -fsSL https://brandongill.dev/api/bio | sh

Certifications [3]Projects DCF Model Resume.pdf

links:credly/github/linkedin/email

Fig 1. Specification[AI/ML_CORE]

DEGREEM.S. Computer Science (AI)

INSTITUTIONOregon State University

FOCUSAutonomous Systems & LLMs

CREDENTIALS3 Verified (AWS & GCP)

LOCATIONCorvallis, Oregon

Verify on Credly [3 Badges]

[*]INDUSTRY_CREDENTIALS [3_VERIFIED]

Certifications & Badges

Verified machine learning, artificial intelligence, and cloud engineering certifications issued via Credly.

Credly Profile [All]

VERIFIED#01

AWS Certified Machine Learning Engineer – Associate

Amazon Web Services Training and Certification

ISSUED: Apr 2026EXPIRES: Apr 2029

[Machine Learning][AWS SageMaker][MLOps][Data Ingestion][Model Evaluation][Cloud Security]

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VERIFIED#02

AWS Certified AI Practitioner

Amazon Web Services Training and Certification

ISSUED: Feb 2026EXPIRES: Apr 2029

[Artificial Intelligence][Generative AI][Responsible AI][AWS AI Services][Foundation Models]

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VERIFIED#03

Generative AI Leader Certification

Google Cloud

ISSUED: Jan 2026EXPIRES: Jan 2029

[Generative AI][Google Cloud Platform][Vertex AI][AI Strategy][Enterprise AI Adoption]

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[*]CHRONOLOGY // ENGINEERING_MILESTONES

Experience & Education

Academic research, technical roles, and distributed engineering milestones.

#01

Artificial Intelligence Engineer Intern

—Seed-AI — Oregon State University

[Feb 2026 – Present][Corvallis, OR]

[*]Architected a Human-in-the-Loop (HITL) web application using FastAPI for an agricultural sorting pipeline, enabling domain experts to review automated seed trays, identify misclassifications, and seamlessly append corrected labels to active training datasets.

[*]Integrated foundation vision models (YOLO, SAM 2.1) with a modular database retrieval engine designed with decoupled adapters to fetch regulatory restrictions and physical identification metrics for verified seed species.

#02

HPC & AI Student Researcher

—Oregon State University – College of Engineering

[Sept 2025 – June 2026][Corvallis, OR]

[*]Built an automated pipeline to translate proprietary HPC kernels (CUDA) to modern parallel standards (OpenMP) using open-weight LLMs using zero shot prompting.

[*]Engineered an agentic feedback loop that parses compiler error logs to autonomously prompt the LLM for repairs, reducing manual debugging time by approx. 60%.

[*]Validated translation integrity against the HeCBench suite, implementing automated testing for semantic correctness and syntactic similarity.

#03

Full Stack Developer

—Beaverhacks

[May 2025 – Present][Corvallis, OR]

[*]Optimized API endpoints and database queries within a 5-person Agile team, handling a 10x traffic spike with sub-200ms latency.

[*]Developed dynamic, role-based dashboards using Next.js and TypeScript, reducing administrative project management time by 50% through automated workflows.

[*]Engineered a full-stack web portal for Oregon State's BeaverHacks program, utilizing Next.js, React, and PostgreSQL for submissions and scoring.

#04

Eco Representative

—Oregon State University

[Oct 2024 – June 2025][Corvallis, OR]

[*]Served as the primary sustainability leader for an on-campus community of 200+ residents, driving engagement through educational outreach and program management as part of a university-wide team that achieved over 14,000 student interactions.

[*]Established a tennis ball recycling program on campus that saved over 110 pounds of tennis balls from landfills.

#05

Tennis Coach

—Eugene Swim and Tennis Club

[June 2023 – Sept 2023][Eugene, OR]

[*]Instructed youth athletes aged 4-17 in fundamental tennis mechanics, on-court mentality, and physical fitness in a dynamic summer camp environment.

[*]SYSTEMS // OPEN_SOURCE_REPOSITORIES

Selected Projects

Autonomous AI agents, machine learning pipelines, and cloud-native software architectures.

[PROJ_01]LIVE

Beaverhacks Project Gallery

Project gallery for present and past hackathons for beaverhacks - the hackathon club at Oregon State University.

[TypeScript][React][TailwindCSS][Next.js]

source launch app

v2.0

[PROJ_02]

LLM-Driven HPC Migration Pipeline (Capstone)

This project focused on modernizing High-Performance Computing code by building a pipeline that leverages open-source LLMs to translate legacy CUDA kernels into OpenMP. The key innovation was the implementation of an 'agentic feedback loop'—rather than a single-pass generation, the system attempts compilation, captures errors, and feeds them back to the LLM for autonomous self-correction. Results were validated against the HeCBench suite to ensure mathematical accuracy across diverse scientific domains.

[Prompt Engineering][LLM Fine-Tuning][Bash][CUDA to OpenMP Translation][LLM-Evaluation]

source

v2.0

[PROJ_03]

Automatic Cell Nuclei Instance Segmentation

Engineered a custom multi-task U-Net architecture from scratch to perform automated instance segmentation, simultaneously predicting semantic footprints and spatial distance maps across 670 microscopy images and 20,000+ individual nucleus masks. Combined a compound loss function (BCE, Dice, MSE) with Marker-Controlled Watershed post-processing to separate dense overlapping cellular structures, placing in the 72nd percentile of the 2018 Data Science Bowl.

[Python][PyTorch][Multi-Task Learning][U-Net][Computer Vision]

source

v2.0

[PROJ_04]LIVE

Beaver Notes - AI Notes Converter

For my teams' submission to BeaverHacks 2025, we created Beaver Notes! Beaver Notes is an AI-enhanced note-taking tool that allows the student to focus on learning the material, rather than scrambling to write everything that the professor spoke about.

[Google Gemini API][RestAPI][JavaScript][HTML][CSS][MongoDB]

source launch app

v2.0

[PROJ_05]

Multiplayer Mafia Web Game

As part of a four-person team, I engineered a real-time multiplayer version of the party game "Mafia" using NodeJS, Handlebars, and Socket.io. The application implements a turn-based state machine for special roles like the Mafia, Doctor, and Sheriff, and features a live chat and voting system for all players to deduce and eliminate the hidden Mafia.

[JavaScript][Handlebars][CSS][Node.js][Socket.io]

source

v2.0

[PROJ_06]LIVE

Personal Portfolio Website

I wanted to create a website where I could show my projects off, refine my web development skills, and create something awesome from scratch. This is the website you are currently viewing :)

[Next.js][TypeScript][TailwindCSS][Vercel][CI/CD]

source launch app

v2.0

[*]COMPETENCY_MATRIX // TOOLING

Skills & Technologies

Core proficiencies spanning machine learning engineering, distributed systems, and cloud infrastructure.

Core[17_MODULES]

[Python][TypeScript][C++][JavaScript][Next.js][React][Git][SQL][NumPy][Prisma ORM][HTML][CSS][Tailwind CSS][Matplotlib][Figma][R][MongoDB]

AI / Machine Learning & HPC[9_MODULES]

[PyTorch][Computer Vision (SAM, YOLO, U-Net)][Transformers][LLMs][OpenMP][CUDA][Slurm][FastAPI][Albumentations]

Cloud & Infrastructure[7_MODULES]

[Amazon Web Services (AWS)][Google Cloud Platform (GCP)][AWS SageMaker][Google Vertex AI][Docker][CI/CD Pipelines][Linux / Bash]

Full Stack & Database[8_MODULES]

[Next.js 15][React 19][Node.js][Express.js][PostgreSQL][MongoDB][Prisma ORM][RESTful APIs]

[*]COMMUNICATIONS // DISCUSSIONS

Get in Touch

Available for discussions regarding machine learning engineering, graduate research, agentic systems, and cloud infrastructure.

email:brandongill9432@gmail.com

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