# George Toumbas

> Princeton CS Grad | Software Engineer | Python, SQL, TypeScript, ML & NLP

Location: New York, New York, United States
Profile: https://flows.cv/georgetoumbas

## Work Experience
### Founding Full Stack Engineer @ Zoa Research
Jan 2024 – Present | New York, United States

### Software Engineer @ Rosemarys House
Jan 2023 – Jan 2024 | New York, New York, United States
Newly established writers' retreat in Greece. It specializes in providing immersive workshops led by New York Times Bestselling authors, aimed at fostering the talents of emerging writers.

- Developed a Python program leveraging the ChatGPT API, fully automating participant outreach for the inaugural summer of writers' retreats.
- This program generated and validated lists of writing community websites across the US and Europe, incorporating a unique method to minimize 'hallucinations' and enhance data accuracy.
- Automated the extraction of contact details from the identified websites and crafted personalized outreach emails.
- This fully automated system resulted in over 100 applications, generating over $400K in potential sales in 3 months.

### Backend Engineer @ Monolog
Jan 2020 – Jan 2020 | New York, United States
Monolog was a mental wellness tech startup that developed an iOS journaling and mood tracking application, leveraging NLP and machine learning to provide users with insights into how various themes in their entries correlated with mood patterns.

- Designed and implemented the Django backend and API for our IOS application
- Collected and cleaned training data from Amazon Mechanical Turk, improving topic extraction accuracy by 16%
- Overhauled our automated testing regime, decreasing the occurrence of critical bugs in production by roughly 60%

### Software Engineer @ SourcePlus
Jan 2019 – Jan 2019 | Los Angeles, California, United States
Source Plus is a supply chain sourcing company, focused on identifying and connecting suppliers based in China with large companies such as Disney and Six Flags.

- Utilized open-source data encompassing COVID-19 spread patterns, regional policies, population density, and other features to construct a machine-learning model. This model adeptly predicted lockdown-induced factory closures in China.
- Successfully forecasted several factory shutdowns in advance, enabling the management team to proactively secure alternative sourcing options.


## Education
### Bachelor's degree in Computer Science
Princeton University


## Contact & Social
- LinkedIn: https://linkedin.com/in/george-toumbas-a9233b215

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Source: https://flows.cv/georgetoumbas
JSON Resume: https://flows.cv/georgetoumbas/resume.json
Last updated: 2026-04-01