/ WHO I AM
I'm an ML engineer and engineering consultant at Thinking Machines, based in Metro Manila. Before this, I led full-stack AI work at NuWorks and ran data science for a small London startup.
Pats Laurel · Engineering Consultant
Pats Laurel
ML Engineer at Thinking Machines.I build production ML. Then I follow it down the stack.
/ 01 · About
About
Production ML, performance, and GPU work
/ WHAT I DO
Part of the job is sitting with clients, figuring out what they need, and narrowing the scope before we build. Then it's retrieval, evals, APIs, data pipelines, and cloud infrastructure. Lately, more C++, CUDA, and profiler traces have been showing up on my screen.
/ HOW I WORK
I spend a lot of time asking two questions: why is this slow, and why did it break? The answer is usually somewhere in the logs, the profiler, or an assumption I forgot to test.
- / BASED IN
- Metro Manila, Philippines
- / FOCUS
- ML systems and GPU computing
/ 02 · Experience
Experience
The work so far
- 01
/ Machine Learning Engineer · Engineering Consultant
Thinking Machines Data Science
I work directly with clients, from the first messy brief through delivery. We narrow the scope, talk through tradeoffs, then build the thing—often retrieval, evals, data pipelines, or cloud infrastructure. I also help with internal engineering standards and project templates.
Sep 2025 — Present
Philippines · Remote
- 02
/ Team Lead — Full Stack Engineer (AI)
NuWorks Interactive Labs
Led a small team shipping AI products end to end: model integrations, application code, deployments, and the production work after launch.
Mar 2024 — Sep 2025
Full-time
- 03
/ Full Stack Engineer
NuWorks Interactive Labs
Joined part-time, shipped product features and model integrations, then moved into the lead role.
Oct 2023 — Feb 2024
Part-time · Remote
- 04
/ Technical Writer
Tutorials Dojo
Wrote AWS and machine-learning guides on SageMaker pipelines, serverless inference, and model fairness.
Oct 2023 — Feb 2024
Contract
- 05
/ Head of Data Science
Short Stay AI
Owned the models, AWS setup, and data pipelines for a small London startup.
Jun 2023 — Feb 2024
London, UK · Remote
- 06
/ Data Science Mentor
Eskwelabs
Reviewed capstone code and helped project teams make better technical decisions.
Sep 2022 — Feb 2024
Part-time
/ SIDE BUILDS
Sometimes a diagram isn't enough. I build small browser experiments where you can drag the math around and see what changes.
/ TALKS
I've spoken at AWS Community Day Manila, universities, conferences, and local meetups—usually about production ML, evals, and what breaks after the demo.
/ 03 · Tools
Tools
Some daily drivers. Some things I'm still getting good at.
01
/ Languages
- Python
- TypeScript
- Rust
- C++
02
/ ML & GPU
- PyTorch
- CUDA
- Hugging Face
- scikit-learn
03
/ LLM & RAG
- LangChain
- PydanticAI
- Amazon Bedrock
- pgvector
04
/ Infra & MLOps
- Databricks
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- PostgreSQL
- MLflow
05
/ Full-Stack
- FastAPI
- Next.js
- React
/ 04 · Contact
Contact
Working on ML systems, inference, GPU software, or something hard to explain in one sentence? Send me a note.
/ SEND MESSAGE