Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Aaron Casserly, a Python software engineer focused on AI and full-stack development. I design and build AI-powered applications using Next.js, FastAPI, PyTorch, and Scikit-Learn, translating theory into practical tools. My work spans data structures and algorithms, reinforcement learning, clustering, CNNs, and high-performance computing. I'm actively involved as an AI trainer and domain expert with Alignerr, Outlier, Pareto, and Amazon Mechanical Turk, applying math, physics, and software knowledge to improve model behavior and data quality.…I'm Aaron Casserly, a Python software engineer focused on AI and full-stack development. I design and build AI-powered applications using Next.js, FastAPI, PyTorch, and Scikit-Learn, translating theory into practical tools. My work spans data structures and algorithms, reinforcement learning, clustering, CNNs, and high-performance computing. I'm actively involved as an AI trainer and domain expert with Alignerr, Outlier, Pareto, and Amazon Mechanical Turk, applying math, physics, and software knowledge to improve model behavior and data quality.

Aaron Casserly

Full Stack Developer, AI Engineer, Data Scientist, +3





I'm Aaron Casserly, a Python software engineer focused on AI and full-stack development. I design and build AI-powered applications using Next.js, FastAPI, PyTorch, and Scikit-Learn, translating theory into practical tools. My work spans data structures and algorithms, reinforcement learning, clustering, CNNs, and high-performance computing. I'm actively involved as an AI trainer and domain expert with Alignerr, Outlier, Pareto, and Amazon Mechanical Turk, applying math, physics, and software knowledge to improve model behavior and data quality.…I'm Aaron Casserly, a Python software engineer focused on AI and full-stack development. I design and build AI-powered applications using Next.js, FastAPI, PyTorch, and Scikit-Learn, translating theory into practical tools. My work spans data structures and algorithms, reinforcement learning, clustering, CNNs, and high-performance computing. I'm actively involved as an AI trainer and domain expert with Alignerr, Outlier, Pareto, and Amazon Mechanical Turk, applying math, physics, and software knowledge to improve model behavior and data quality.

Available to hire

I’m Aaron Casserly, a Python software engineer focused on AI and full-stack development. I design and build AI-powered applications using Next.js, FastAPI, PyTorch, and Scikit-Learn, translating theory into practical tools. My work spans data structures and algorithms, reinforcement learning, clustering, CNNs, and high-performance computing.

I’m actively involved as an AI trainer and domain expert with Alignerr, Outlier, Pareto, and Amazon Mechanical Turk, applying math, physics, and software knowledge to improve model behavior and data quality.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Trainer at Alignerr

January 1, 2015 - Present

Conceived original math questions to produce model failures and guide model improvements.

Physics Expert at Amazon Mechanical Turk

December 1, 2024 - Present

Prompt engineering for undergraduate/graduate physics questions to surface model failures; corrected responses provided for reinforcement learning feedback.

AI Trainer at Outlier

August 1, 2024 - Present

RLHF and prompt engineering for English-language tasks; producing model failures and guiding steering; reviewer leadership and Oracle contributor.

AI Trainer at DataAnnotation

August 1, 2024 - October 18, 2025

Developed diverse coding problems and solutions for a coding chatbot; evaluated AI-generated code quality; Python data analysis and visualization; trained an LLM on physics problems; worked on both worker and administrator roles.

Researcher at McMorran Lab

October 1, 2023 - October 18, 2025

Evolved skyrmions on the UO supercomputer (Talapas) using mumax3; varied external magnetic field, observed helicity reversal; produced visualizations with Python and Mathematica; generated seed files for simulations.

Undergraduate Researcher at Oregon Ions

May 1, 2022 - October 18, 2025

Designed Fabry-Pérot interferometer cavity; performed PDH locking for frequency stabilization; calculations in Jupyter Notebooks; connected to 3D-printed ion traps for future work.

Research Assistant at The Gardner Lab

March 1, 2020 - October 18, 2025

Developed MATLAB software for Direct Laser Write 3D printer; implemented a stitching algorithm for micron-scale lithography tooling; contributed to publications and laboratory capabilities.