# Reyhaneh Kazerani

> Machine Learning Engineer

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

Master's in Computational Mathematics and Bachelor's in Mathematics.
Double major graduate student in Computer Science and Statistics and Analytics.
Areas of interest: Deep Learning and Neural Networks, Machine Learning, Data Mining.
Have experience with Spark and Neo4j.
Proficiency in Python and experienced in Tensorflow API, using graph and image processing algorithms and packages.

## Work Experience
### Software Engineer - Perception @ Zoox
Jan 2022 – Present

### Machine Learning Engineer @ Tempus Ex
Jan 2021 – Jan 2022 | San Francisco Bay Area

### Lead Machine Learning Engineer @ Ouster
Jan 2018 – Jan 2021 | San Francisco Bay Area
At Ouster, we were focused on two things: Making lidar hardware reliable and accessible to all, and building a suite of Perception products using those lidars to bring 3D perception knowledge to industries for the first time.

### Machine Learning Intern @ Luminar Technologies
Jan 2017 – Jan 2018 | Palo Alto, CA
Luminar Technologies, Inc. is producing advanced sensor technologies for the autonomous vehicle industry. Luminar is fueled by a group of relentless optimists and fearless problem solvers who tirelessly design, build and deliver the future of LiDAR. Our vision is to make autonomous vehicles safe and ubiquitous.

### Lecturer @ University of Arkansas
Jan 2016 – Jan 2017 | Fayetteville, Arkansas Area
Prepared and delivered lectures to undergraduate or graduate students on topics such Probability Theory, Linear and Logistic Regression and Hypothesis Testing. Organized, implemented and monitored programs and assessments for three classes of roughly 90 students. Maintained regularly scheduled office hours to advise and assist students.

### Data Analyst @ Lauren James
Jan 2016 – Jan 2017 | Fayetteville, Arkansas Area
At Lauren James, an apparel startup, I used statistical techniques to interpret and analyze data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.


## Education
### Master’s Degree in Computer Science
University of Arkansas

### Master of Science in Statistics and Analytics
University of Arkansas

### Master’s Degree in Computational Mathematics
University of Arkansas

### Nano Degree in Self Driving Cars
Udacity


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

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