Minh Hoang
Teaching Assistant at Google
Geneva, Geneva, Canada
Summary
🤩
Rockstar🎓
Top SchoolMinh Hoang is a versatile software engineer and quantitative analyst with eight years of experience spanning research, ML engineering, and production software at firms like Squarepoint, Amazon, Google, and Meta. He combines a strong academic foundation—MS in Data Science from UPenn and roots in experimental particle physics—with hands-on contributions to notable open-source projects such as hls4ml and the CMS offline software, where he helped deploy neural networks into FPGA and hardware workflows. His work bridges high-frequency trading optimization, edge LLMs for automotive applications, and ML-driven database and query optimization, reflecting a knack for turning complex models into efficient, deployable systems. As a current TA for a machine learning course and active engineer at Google Workspaces, he balances teaching, research, and product-oriented development. An uncommon thread through his career is integrating ML models into constrained hardware and production pipelines—validating models layer-by-layer and automating deployment—which highlights both deep technical rigor and practical impact.
8 years of coding experience
4 years of employment as a software developer
Honors Bachelor of Science, Computer Science, Honors Bachelor of Science, Computer Science at University of TorontoHigh School Diploma, Physics, High School Diploma, Physics at Hanoi-Amsterdam High School for the GiftedMaster of Science in Engineering, Data Science, Master of Science in Engineering, Data Science at University of Pennsylvania
English, Vietnamese, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
c-language10
python10
machine-learning10
onnx10
keras10
tensorflow10
cplus10
neural-network10
fpga10
hlsl10
model-conversion10
cpp10
cprogramming-language10
pytorch9
cer9
Programming languages (4)
Github contributions (5)
fastmachinelearning/hls4ml
Aug 2019 - Aug 2021
Machine learning on FPGAs using HLS
Role in this project:
ML Engineer
ML EngineerContributions:17 reviews, 46 commits, 18 PRs in 2 years
Contributions summary:Minh significantly contributed to enhancing the `hls4ml` project, focusing on expanding its capabilities to support various machine learning model formats. They implemented support for importing models saved in the `.h5` format from Keras, including handling architecture and weights. Furthermore, they added support for `.npy` data input/output files and developed functionality to compare layer-by-layer outputs for model validation and debugging, alongside GitHub Actions for automating PyPI deployment.
pytorchpythonvivadofpgasonnx
cms-sw/cmssw
May 2023 - May 2024
CMS Offline Software
Role in this project:ML Engineer
ML EngineerContributions:2 reviews, 4 PRs, 12 comments in 1 year
Contributions summary:Minh primarily contributed to the L1NNTauProducer, a core component for identifying taus using a neural network. Their work involved modifying the neural network input features, updating the weights, and integrating the network into the hardware implementation. They also refactored the code, removed unnecessary components, and fixed issues related to data formats.
cmscernweb-appc-plus-plusbackbonejs
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