# Pedram Pourdavood

> Software Engineer | Stealth AI Startup

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

Interested in the areas of Machine Learning, Deep Reinforcement Learning, Computational Neuroscience, Artificial Intelligence, and Data Science.

University of California, Berkeley - Class of 2020

## Work Experience
### Founding Software Engineer @ Stealth AI Startup
Jan 2023 – Present | Redwood City, California, United States

### Software Development Engineer @ Amazon
Jan 2020 – Jan 2022 | Sunnyvale, California, United States
Alexa Echo Devices

### Undergraduate Researcher - Ji Neuroscience Lab @ University of California, Berkeley
Jan 2019 – Jan 2020 | Berkeley, California
Developed computational infrastructure for imaging hippocampal memory with behaving animals in virtual reality environments to investigate replay memory.
Conducted the development of novel behavioral tasks for experimental animals to perform.
Developed neural computation methods and data analysis techniques for decoding imaging data of neural activity.

### Software Development Engineer Intern @ Amazon Web Services (AWS)
Jan 2019 – Jan 2019 | Seattle, Washington, United States
Improved and added features to the Smart Recommendation System, an ML application project in the AWS Support team.
Developed an evaluation system to measure the performance and relevance of the recommendation results.

### Undergraduate Researcher - Berkeley Institute for Data Science (BIDS) @ University of California, Berkeley
Jan 2017 – Jan 2018 | Berkeley, California
Worked on the Impact.DS: Thousand Currents project under Professor Anthony Suen. Our project was to work with Thousands Currents, a nonprofit organization, to build the technical infrastructure that would enabled them to achieve their philanthropic goals. Built a functioning database that allowed them to work with simple analytics in an easy manner that supported data visualizations and forecasting/machine learning.
Tasks included data cleaning, data analysis, formulating and testing hypotheses using statistical models.


## Education
### Bachelor’s Degree in Computer Science
University of California, Berkeley
Jan 2016 – Jan 2020

### Beverly Hills High School
Jan 2013 – Jan 2016


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

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Source: https://flows.cv/pedram
JSON Resume: https://flows.cv/pedram/resume.json
Last updated: 2026-03-22