# Zhixing Liu

> AI Agent | Deep Learning | Machine Learning | Generative AI |  Data Science | GNSS and INS sensor fusion

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/zhixing

- Data Science and Data Analytics
• Data Analysis: Data cleansing, data preparation, and data visualization using tools such as Pandas, NumPy, Seaborn and SciKit-Learn.
• Machine learning: Linear regression, logistic regression, decision tree/forest, feature selection(PCA), XGBoost and Autoencoder
• Deep learning: GAN, CNN, LSTM, RNN, GRU and  transformer models, TensorFlow, Keras
• TensorFlow and Keras. 

- Car Navigation Systems
• Extensive R&D experience in car navigation systems, specialized in positioning and map-matching.
Conducted algorithm research for a new generation high precision Locator for Nissan’s Viechles.
• Comprehensive experience in the software development life cycle, from research collaboration with Hitachi Research Laboratory to prototype development, verification testing, and final mass production development.
• In-depth research experience in satellite-based and internet-based high-precision GNSS systems
• Hands-on knowledge of Kalman Filter-based multi-sensor fusion, GPS/GNSS, signal processing, and Probability theory.

## Work Experience
### Senior Software Engineer @ eGain Corporation
Jan 2025 – Present | San Francisco Bay Area

### Software Developer @ eGain Corporation
Jan 2024 – Present | United States

### Consultant @ Starwy Inc.
Jan 2017 – Jan 2025 | Greater Toronto Area, Canada
- Data Science and Data Analytics Certificate Program, UC Santa Cruz Silicon Valley Extension
    - Python for Data Analysis: Medical cost case study, Airport case study
       •Techniques: data collection, data cleaning, data analyzing, and data visualization

    - Machine Learning
       • Prediction of housing price using linear regression with degree-k polynomial
       • Feature selection using Chi Squared Test and PCA
       • Anomaly Detection in Network Data using XGBoost, GANs, and Autoencoders
       • Fine-Tune of LLMs using LoRA and HuggingFace Supervised Fine-tuning Trainer (SFT)​
       • Fine-Tune of embeddings using LIamaIndex + Retrieval Augmented Generation (RAG)

    - GANs for Data Synthesis
       • Enhancement of  CGAN, DCGAN, WGAN, pix2pix and Cycle GAN for Data synthesis
       • Training of the enhanced models

    - Big data system design
       • Designed a big data system for Twitter’s front page loading and geolocation-based emergency detection.
       • Conducted business requirements analysis, functional and non-functional design, data schema design, and system workflow design.
       • Knowledge of  Kafka, Spark, Hadoop, and MySQL.

    - Deep Learning and Artificial Intelligence
       • Perceptions: CNN, DNN and Transfer learning
       • NLP: RNN, LSTM, BERT and  Word embedding

- Car Navigation System
    • Conducted quantitative analysis of INS/GNSS availability for self-driving vehicles in urban environments.
    • Evaluated the performance of high precision GNSS receivers for self-driving vehicles.

### Research Scientist @ York University
Jan 2014 – Jan 2017 | Toronto, Ontario, Canada

### Core R&D Engineer @ Clarion
Jan 2008 – Jan 2017 | Saitama, Japan

### Research Scientist @ National Institute of Informatics [Japan] 国立情報学研究所
Jan 2008 – Jan 2008 | Tokyo, Japan

### System Engineer @ 株式会社DTS
Jan 2001 – Jan 2003 | Tokyo, Japan


## Education
### Doctor of Philosophy (Ph.D.) in Information and Communication Engineering
The University of Tokyo

### M.Sc. in Logistics and Information Engineering
Tokyo University of Marine Science and Technology

### Data Science
UCSC Silicon Valley Extension


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

---
Source: https://flows.cv/zhixing
JSON Resume: https://flows.cv/zhixing/resume.json
Last updated: 2026-04-11