# Tomislav Medan

> Forward Deployed Engineer at Labelbox

Location: San Mateo, California, United States
Profile: https://flows.cv/tomislav

Currently a forward deployed engineer at Labelbox focused on enabling capabilities of the next generation of frontier models through the power of data. 

Tomislav has extensive experience in the life sciences/digital health/medtech sectors through developing RAG-based federated applications and consumer portal projects.  

From benchmarking creation to infrastructure design, Tomislav is experienced in the full AI product lifecycle from ideation to go-to-market efforts.

## Work Experience
### Forward Deployed Engineer @ Labelbox
Jan 2025 – Present | San Francisco Bay Area
Enhancing the capabilities of next gen frontier models through data.

### Research Engineer II @ Deloitte
Jan 2025 – Jan 2025 | San Francisco Bay Area
Research Engineer lead building tools focused on federated learning, confidential computing, and LLMs.

### Research Engineer @ Deloitte
Jan 2023 – Jan 2025 | San Francisco Bay Area
- Research Engineer on an R&D team focused on bringing Privacy Enhancing Technologies to LLM applications for our clients across sectors. 
- Python developer for a novel federated RAG application based on Nvidia’s nvflare (federated learning) SDK. Paper on the work submitted to multiple top ML conferences and discussed at Flower AI’s developer day.
- Functional lead roles on large-scale software development and implementation projects

### Business Technology Analyst @ Deloitte
Jan 2021 – Jan 2023 | San Francisco Bay Area

### Research Assistant @ Berkeley Lab
Jan 2020 – Jan 2021 | Berkeley, California, United States
- Worked under Dr. Lukić’s computational cosmology group performing image anomaly detection with convolutional neural networks using PyTorch
- Aided in the development of novel self-supervised neural networks for anomaly detection in the largest galaxy image survey to date

### Student Research Assistant @ Berkeley Lab
Jan 2020 – Jan 2020 | Berkeley, California, United States
Skills Utilized: convolutional neural networks, self-supervised machine learning, PCA analysis, random forest, Tensorflow

### Intern @ Triaxiom Capital
Jan 2019 – Jan 2019 | San Francisco Bay Area
Skills Utilized: Python, momentum-based trading

### Business Development Intern @ Reflektive
Jan 2018 – Jan 2018 | San Francisco Bay Area
Skills Utilized: cold calling, due diligence, presentational preparation, industry research


## Education
### Bachelor of Science - BS in Applied Mathematics
UC Santa Barbara

### Minor in Statistics
UC Santa Barbara


## Contact & Social
- LinkedIn: https://linkedin.com/in/tomislav-medan-64a54314b

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