The Linux Foundation

1. I was the first person (out of approximately 20 people) at LinkedIn to become a Flyte Committer. I was granted access to write to the repo and play a pivotal role in making critical decisions for Flyte.
2. I coordinated between LinkedIn and the open-source community, upstreaming numerous features, including AzureAD, PodTemplate, Horovod, KubeFlow, Ray, and core changes to Flyte. I was also recognized as the monthly contributor twice.
3. I published a blog post demonstrating how to accelerate LLM on Flyte. This blog was shared by LinkedIn leadership, Union.ai's CEO, and LangChain's CEO. (https://flyte.org/blog/building-flytegpt-on-flyte-with-langchain)

My contribution: https://github.com/flyteorg/flyte/commits?author=ByronHsu

Flyte Committer

LinkedIn

Software Engineer

The Apache Software Foundation

1. Synthesized Tensorboard and MLFlow service into Kubernetes cluster, enabling users to perform data visualization and measurement.
2. Replaced in‑memory storage with MySQL database, persisting experiment information.
3. Built the web dashboard by Angular and RxJS, allowing users to submit experiments via GUI.
4. Led a group of 5 to develop model management SDK from scratch, enabling users to manage model life cycle.

My contribution: https://github.com/apache/submarine/commits?author=ByronHsu

Apache Submarine Committer

National Taiwan University

Vision & Learning Lab (VLL) - Advisor: Prof. Yu-Chiang Frank Wang
Co-first author of “Self-Supervised Deep Learning for Fisheye Image Rectification”, accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020).

Undergraduate Research Assistant

Signals and Systems - Instructor: Prof. Lin-Shan Lee (Spring 2019)

Teaching Assistant

NVIDIA

1. Supervised by Dr. Colleen Ruan. Focused on Systematic Evolution of Ligands by Exponential Enrichment (SELEX) optimization by deep learning to find high-affinity DNA aptamers to a certain target ligand.
2. Trained Variational AutoEncoder (VAE) and Multilayer Perceptron (MLP) to construct affinity‐related latent distribution, and applied
Bayesian Optimization to discover the potential high‐affinity sequence on latent distribution.

Solution Architect Intern

Building LLMInfra/MLInfra @LinkedIn
Learning new stuff from Open Source in my free time

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