# Haoyuan Meng

> Software Engineer at Primer.ai

Location: Belmont, California, United States
Profile: https://flows.cv/haoyuanmeng

Machine Learning Platform Engineer with 4+ years of experience owning the end-to-end delivery of production ML systems, including LLM-powered retrieval, large-scale data pipelines, and model-serving infrastructure, from system design through deployment and operations.

## Work Experience
### Software Engineer II @ Primer.ai
Jan 2021 – Present | San Francisco Bay Area
Building the cutting-edge Agentic ML platform that powers semantic search, entity extraction, and summarization.
1. Enhance user search speed using ML/AI and SQL optimization.
2. Build and ship data ingestion pipelines for semantic retrieval.
3. Design and build a data revocation system from end to end.
4. Designa and build on-premise monitoring system.

### Video Research Intern @ OPPO
Jan 2021 – Jan 2021 | Palo Alto, California, United States
• Data Processing: Developed video and audio data processing library that is shared by all team members. The library leverages parallel processing that shortens overall data processing time by half.
• Audio Visual Enhancement: Collaborated with a senior research scientist on developing siamese neural network that detects audio-video synchronization error. The model is used to generate meaningful data embedding.

### Lab Software Developer Intern @ UC San Diego, EV Battery Lab
Jan 2020 – Jan 2021 | United States
• Implemented time-series data preprocessing and RNN model training API for 100+ battery testing datasets.
• Designed and trained LSTM attention algorithms to predict battery failure time and forecast battery state-of-health with up to 92% benchmark dataset accuracy.
• Investigated data-driven approaches on battery lifetime prognostics and implemented workable demos.
• Implemented web crawlers using Python Scrapy and Selenium package. Scraped 37 sets of battery decay data.
• Created organization Github repository for the lab and maintained 2 projects.

### Software Development Engineer Intern @ FMA technology
Jan 2019 – Jan 2019 | Beijing City, China
1. Implemented a command prompt tool for F=ma graph database that supports functionalities including parsing database query commands, communicating with database REST server and displaying query results. Successfully deployed the software on client's database.
2. Implemented database automatic I/O testing script. Successfully deployed testing scripts on AWS via Docker containers.

### Part-Time Research Support (DARPA Team) @ D.A.T.A. Lab PSU
Jan 2018 – Jan 2019 | State College, Pennsylvania Area
• Developed a data preprocessing pipeline that unifies point cloud data size, orientation, and scale for 10000+ 3D models.
• Developed data denoising method that improved training speed by 10%.
• Acknowledged in “3D Design Using Generative Adversarial Networks and Physics-Based Validation” ASME 2019.
• Collaborated with PHD students on designing a generative adversarial network. Implemented and trained the network by utilizing AWS services and Docker containers.
• Alleviated mode collapse problem by modifying the discriminator structure and introducing Wasserstein loss function, improving average design aerodynamic score by 8%.
• Collaborated in a team of 4 to create web app demos for 3D model showcasing and live 3D model generation.

### Research Intern @ MEGVII旷视
Jan 2018 – Jan 2018 | Beijing City, China
• Implemented face orientation classifier using inception feature extraction network. Improved prediction accuracy by 3%.
• Evaluated and implemented 2 face landmark algorithms. Generated 2 benchmarks on smartphone camera images.
• Experimented with GCN large kernel, depth-wise separable convolution. Presented and documented experiment results.
• Optimized data preprocessing workflow that integrates functionalities of searching, bulk downloading, data augmentation, normalization, and saving operations.


## Education
### Master of Science - MS in Machine Learning & Data Science
UC San Diego

### Bachelor's degree in Computer Science
Penn State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/mhyz1n4

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Source: https://flows.cv/haoyuanmeng
JSON Resume: https://flows.cv/haoyuanmeng/resume.json
Last updated: 2026-03-29