Hovhannes Tamoyan is a research scientist and doctoral researcher at TU Darmstadt with nine years of software engineering experience, based in Hesse, Germany. He focuses on practical ML infrastructure and experiment tracking, having contributed significant integrations and features to the popular open-source Aim project—bridging Matplotlib and Plotly, and adding support for Keras-Tuner, W&B, Optuna, PyTorch Lightning and more. Comfortable working across research and engineering boundaries, he brings both academic rigor and hands-on implementation skills to scale ML workflows. Notably, his contributions emphasize interoperability and reproducibility, improving how experiments and parameters are tracked across diverse ML toolchains.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Role in this project:
ML Engineer
Contributions:25 reviews, 29 commits, 62 PRs in 5 months
Contributions summary:Hovhannes contributed several features related to integrating and expanding the capabilities of the `aim` experiment tracking tool. They implemented compatibility between Matplotlib and Plotly figures, and added integrations for Keras-Tuner, Weights & Biases, MXNet, FastAI, Optuna, PaddlePaddle, PyTorch Lightning, Stable-Baselines3 and Acme. Additionally, they modified the behavior of a method related to tracking figures and tracked DVC params, demonstrating a focus on expanding the tool's integrations with other popular machine learning tools and libraries.
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