# Yiheng He

> ML | NLP | ML Systems

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

With a master's degree in Statistics from UC Berkeley, I am specialized in machine learning, deep learning, and reinforcement learning, having extensive experience with programming languages such as Python and C++.

## Work Experience
### Senior Software Engineer @ SambaNova
Jan 2022 – Present | Palo Alto, California, United States

### Machine Learning Software Engineer @ Moffett.AI
Jan 2021 – Jan 2022 | Los Altos, California, United States
• Designed deep learning compilers for AI inference accelerators

### Graduate Student Instructor @ UC Berkeley Department of Mathematics and Statistics
Jan 2019 – Jan 2020 | Berkeley, California, United States
• Instructed two sections of 6 hours per week to roughly 55 students about probability, hypothesis testing, estimation, regression, and single variable calculus, creating biweekly quizzes to test students’ understandings of course materials.
• Taught students how to use R to manipulate data frames by base R or the dplyr package, make plots with the ggplot2 package, and use advanced functions such as lm, sapply, etc.

### Actuarial Analyst Intern @ California Department of Insurance Office of Principle-Based Reserving
Jan 2019 – Jan 2019 | Los Angeles, California, United States
• Avoided overlooking potential financial crimes by conducting analysis on mortality grading, term NPR, and deterministic reserve, resolving discrepancies in 3 insurance companies’ reports, and presenting the result to the entire department.
• Boosted work efficiency significantly by 50% and eased compliance checks through generating reports that consist of key statistics, summary data, evaluations, and visualizations based on 35 insurance companies’ VM-31 reports.
• Created a guidebook according to the Actuarial Standard of Practice that standardized the working procedures of all actuaries.

### Research Assistant @ UCLA Anderson School of Management
Jan 2018 – Jan 2019 | Los Angeles, California, United States
• Scraped and cleaned data of political candidates, municipalities, and election results covering 14 years for local offices in California from the website SmartVoter in R to investigate the determinants of female representation in politics.
• Separated more than 45,000 observations into different spreadsheets from 1997 to 2010 and created functions in R to use regular expressions to classify candidates based on education levels.


## Education
### Master of Arts - MA in Statistics
University of California, Berkeley

### Bachelor of Science - BS in Mathematics
UCLA


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

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