# Hunter Dunteman

> Software Engineer

Location: San Francisco, California, United States
Profile: https://flows.cv/hunterdunteman

## Work Experience
### Software Engineer @ Asana
Jan 2024 – Present | San Francisco, California, United States

### Software Engineer @ Flexport
Jan 2022 – Jan 2024 | San Francisco, California, United States
- Maintained and implemented improvement efforts to the public API and webhook framework
- Designed system for clients to track their shipments by their delays leveraging MongoDB, Sidekiq, and Kinesis
- Worked across the stack and domains to deliver feature requests and bug fixes on behalf of customers and internal integration engineers

### Software Development Engineer @ Amazon
Jan 2021 – Jan 2022 | Seattle, Washington, United States
- Designed and implemented work on microserves leveraging cloud computing and machine learning technology to improve warehouse quality control.
- Performed DevOps to ensure operational excellence of production services.

### Contractor - Data Engineering @ Approved Networks, Inc
Jan 2017 – Jan 2020 | Lake Forest, California
- Developed and maintained a scraping bot to gather competitor pricing in the optical transcievers and cables / networking market.
- Compiled and disseminated price comparison report to sales and management on a bi-monthly basis.
- Utilized the Python Scrapy package.

### Machine Learning Intern @ Deerwalk Inc.
Jan 2019 – Jan 2019 | Lexington, Massachusetts
- Built neural network models to detect diabetes, COPD, and various other chronic conditions in a population based on diagnostic, procedural, and pharmacutical codes.
- Collaborated internationally, working with team members based in both Nepal and Massachusetts.

### Data Science Intern @ DataProphet
Jan 2018 – Jan 2018 | Cape Town Area, South Africa
- Worked on a computer vision project using the Python machine learning package Keras to develop a convolutional neural network model to predict the angle in degrees a dial was rotated.
- Utilized GridSearch Cross Validation to hypertune the model parameters and improve the efficiency of the data pipeline to improve the model's accuracy.
- Collaborated with a team of two others and improved our model's margin of error from 8 degrees to less than 2 degrees.


## Education
### Bachelor's degree in Data Science
University of California, Berkeley

### Data Science
iXperience


## Contact & Social
- LinkedIn: https://linkedin.com/in/hunter-dunteman-562bbb177

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