Haoyang Liu
San Jose,CA
Summary
Research Engineer with academic and industrial background in computer vision and deep learning. Strong technical proficiency with work history in Python. In-depth knowledge of and currently researching in SOTA deep learning architectures coupled with attention to industrial feasibility. Proven research-oriented project history with NumPy and PyTorch.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Machine Learning Engineer
Amazon Inc.
Santa Clara, CA
01.2023 - Current
- Upgraded large-scale deep learning toolsets for production speech models and achieved 25%+ model performance improvement in comprehensive analysis
- Dived deep into legacy ASR training data and reduced ASR error rates from 30% to 6% through data sanitization
- Built and deployed efficient streamlined data mining and processing tools and reduced workflow time by half
- Designed data preparation tool and procured 30k hours of speech data and documentations for self-supervised foundation models
- Improved internal UI tools to systematically examine data and reduced the product tech burden by 50%
Research Engineering Intern
Amazon Inc.
Santa Clara, CA
06.2022 - 09.2022
- Owned and connected key data pipeline components, enabling crucial data correction steps and cuts data processing cost by 90%
- Conducted weekly software tests and listened candidly to 3 internal user feedbacks, leading to the launch of data annotation tool within 3 months.
- Analyzed over 2 weeks of beta run data, extracting key metrics and trends, and reported findings to stakeholders, influencing product development decisions and contributing to a 50% reduction in annotation error rate.
Research Consultant
eBay Inc.
Shanghai, China
03.2020 - 08.2021
- Conducted research underpinning development of cutting-edge query processing using Transformers.
- Improved knowledge of Deep Learning in NLP in order to contribute in relevant and productive ways.
- Modeled website query trends and prepared reports utilizing Scala SQL programming.
Computer Vision Intern
Midea Emerging Technology Center
San Jose, CA
02.2019 - 05.2020
- Utilized TensorFlow to train and fine-tun Deep Neural Networks including Faster-RCNN, Mask-RCNN.
- Conducted preliminary researches in Generative Adversarial Networks.
- Assessed current product efficiency by building OpenCV object tracking program.
Industrial Robotics Intern
Midea Emerging Technology Center
San Jose, CA
01.2019 - 03.2019
- Designed and integrated vision, targeting and movement systems with ROS and OpenCV.
- Improved product security by building facial recognition with eigenface and kNN.
- Checked robotics system designs for conformance to quality control and safety standards.
Education
Master of Science - Computer Science And Engineering
12.2022
- 3.7 GPA
- Research Areas: Computer Vision, 3D Processing, Latent Space, Generative Adversarial Networks
- Projects: 3D Structural Point Cloud Generation, Trans-LSTM Toxicity Detection, Sparse Recommender, Wound Image Projection and Generation
- Capstone Research: Semi-supervised Latent Projection in Generative Networks for Wound Prediction
Bachelor of Science - Computer Science
09.2018
- Specializations in Intelligent System, Visual Computing
- Projects: 3D Stereo Reconstruction, Reinforcement Learning in Minecraft, CSP Solver in Sudoku, WebGL Renderer
Skills
- Fluent in Python, C
- PyTorch, TensorBoard, PyTorch-Lightning
- NumPy, Matplotlib, Scikit-learn, Streamlit
- OpenCV, MATLAB, Open3D, MeshLab
- Unix, Git, Jupyter, VS Code
- AWS Lambda, EC2, ECR, IAM, S3, boto3
- Azure, ROS, Docker, SLURM
- Selenium, Jira
- NLTK, spaCy
Certification
- Stanford Online Machine Learning Certificate 06/2019
Websites
Timeline
Machine Learning Engineer - Amazon Inc.
01.2023 - Current
Research Engineering Intern - Amazon Inc.
06.2022 - 09.2022
Research Consultant - eBay Inc.
03.2020 - 08.2021
Computer Vision Intern - Midea Emerging Technology Center
02.2019 - 05.2020
Industrial Robotics Intern - Midea Emerging Technology Center
01.2019 - 03.2019
University of California, Santa Cruz - Master of Science, Computer Science And Engineering
University of California, Irvine - Bachelor of Science, Computer Science
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