Justin Goheen is a software engineer specializing in artificial intelligence with seven years of experience building robust, production-ready systems and developer-focused tooling. Based in West Palm Beach, he has bridged research and real-world deployment through roles at Lightning AI as a Developer Advocate for AI platforms and now showcases work via his personal AI portfolio, Theosis AI. His open-source contributions include type-safety and logger fixes to the widely used PyTorch Lightning project, demonstrating attention to maintainability and integration in large ML codebases. A former enlisted Marine with technical graduate study at Drexel, Justin brings disciplined execution, operational experience, and quantitative rigor to complex AI engineering problems.
7 years of coding experience
Master of Science - MS, Master of Science - MS at Drexel University College of Computing & Informatics
Graduate prerequisites, Graduate prerequisites at Florida Atlantic University
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Role in this project:
Back-end Developer
Contributions:178 reviews, 11 commits, 23 PRs in 1 month
Contributions summary:Justin primarily addressed mypy errors within the codebase, specifically related to logger implementations and related files. They fixed type-related issues in various files, including `logger.py`, `csv_logs.py`, `base.py`, `tensorboard.py`, `mlflow.py`, `comet.py`, and `neptune.py`. Their contributions involved code modifications to ensure type correctness, indicating a focus on code quality, maintainability, and potential integration with other tools and frameworks.
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