# Pablo Laso

> Software Engineer, AI Infra @ Fireworks AI

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

Interdisciplinary software engineer building AI infrastructure and machine learning systems.

At Fireworks AI, I work on AI infra that serves high‑performance open‑source models in production, focusing on reliability, performance, and developer experience.

Previously, I completed my master’s thesis in deep learning for portable MRI at the Athinoula A. Martinos Center for Biomedical Imaging at Massachusetts General Hospital, Harvard Medical School, collaborating with MIT CSAIL. I worked on optimization and data augmentation methods for white matter hyperintensity quantification, contributing to publications at IEEE ISBI and in Nature Communications.

I enjoy problems at the intersection of ML and systems: Python/Go, PyTorch, distributed data processing, and cloud‑native infrastructure.

## Work Experience
### Software Engineer @ Fireworks AI
Jan 2024 – Present | Redwood City, California, United States
- Design and build backend services and APIs (Go / Python) that power high‑throughput inference for open‑source LLMs and other models.

- Work across our Kubernetes / GCP stack to deploy and scale model serving, with a focus on latency, reliability, and cost.

- Implement features around billing, usage tracking, and metrics (PromQL, BigQuery) to give customers better observability and control.

- Collaborate with frontend (TypeScript / React) and product to ship end‑to‑end improvements to the developer experience.

### Software Engineer @ MICSI
Jan 2024 – Jan 2024 | New York, New York, United States
- Built and maintained backend services and data pipelines using Python, C++, SQL, and AWS (EC2, S3, Docker).

- Designed and implemented features in a production codebase, from schema design to deployment.

- Worked in a small team environment, owning tasks end‑to‑end and improving reliability and performance of existing systems.

### AI Engineer (MS thesis intern) @ Harvard Medical School and Massachusetts General Hospital
Jan 2023 – Jan 2023 | Boston, Massachusetts, United States
- Developed deep learning and data processing pipelines for low‑field portable MRI, focusing on white matter hyperintensity (WMH) quantification and brain volume estimation.

- Designed and trained segmentation models and data augmentation methods to handle heterogeneous clinical and low‑field MRI data.

- Co‑authored IEEE ISBI and Nature Communications work on portable MRI for Alzheimer’s disease and WMH quantification; contributed open‑source code to the WMH‑SynthSeg tooling: https://ieeexplore.ieee.org/abstract/document/10635502

### Research Assistant (Software Engineering) @ Karolinska Institutet
Jan 2021 – Jan 2022 | Stockholm, Stockholm County, Sweden
Worked as a research software assistant at Karolinska Institutet, contributing to imaging/data pipelines in the group that collaborates with clinicians at a Nobel‑prize–awarding medical institution.

### Data Scientist @ GE
Jan 2020 – Jan 2021 | Madrid, Community of Madrid, Spain
- Bachelor’s thesis in collaboration with Quirón, GE and LAIMBIO on advanced image quantification using machine learning for prostate MRI.

- Integrated image quantification tools into a clinical workflow: PACS/DICOM ingestion, preprocessing, radiomics feature extraction, and ML models for computer‑aided prostate cancer assessment.

- Evaluated automatic quantification and reporting to support hospital‑specific normative values and pathology detection.

### Laboratory Research Assistant (Data Scientist) @ PROMISE - LAIMBIO
Jan 2019 – Jan 2020 | Madrid, Community of Madrid, Spain
Built and upgraded statistical analysis and image processing pipelines in the lab (Python, DL, data pipelines) for biomedical imaging research.


## Education
### Master's degree in Data Science
KTH Royal Institute of Technology
Jan 2021 – Jan 2022

### Master's thesis research in AI and Deep Learning (visiting MSc student)
Harvard University
Jan 2023 – Jan 2023

### Master's degree in Computer Science
University of Twente
Jan 2022 – Jan 2023


## Contact & Social
- LinkedIn: https://linkedin.com/in/lasopablo
- Website: https://surfer.nmr.mgh.harvard.edu/fswiki/WMH-SynthSeg
- GitHub: https://github.com/lasopablo

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Source: https://flows.cv/pablolaso
JSON Resume: https://flows.cv/pablolaso/resume.json
Last updated: 2026-03-23