João P
Machine Learning Engineer at Cohere
Doha, Qatar
Summary
👤
Senior🎓
Top SchoolJoão P is a machine learning engineer with 15 years of experience who blends deep academic credentials—a Ph.D. in Information Retrieval and a postdoc at MIT/CSAIL—with hands-on production ML work across startups, research institutes, and industry. He has a strong publication record (over 1,500 citations, H-index 21) in digital health and information retrieval, and has translated that research into deployed systems for health behavior analysis, sleep science, and public-sector ML at Scale AI. Technically fluent in Python, PyTorch, TensorFlow, pandas and cloud stacks (GCP/AWS), he builds end-to-end pipelines and multimodal models for mood and behavior prediction as well as empathetic LLMs. João’s career shows a rare mix of large-scale data engineering (terabyte-scale Foundry deployments) and novel ML research applied to real-world problems, including consulting for the World Bank and product-oriented work that improved sleep staging models. Based in Doha, he is currently advancing production ML at Cohere after helping establish Scale AI’s regional research presence. Not obvious from titles alone: he often operates as the second hire or early technical hire, repeatedly turning research insights into practical, deployed solutions.
15 years of coding experience
13 years of employment as a software developer
Vienna University of TechnologyBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Universidad de Santiago de ChileMaster's degree Computer Science, Master's degree Computer Science at Universidade Federal de Minas Gerais
Portuguese, Spanish, English, German
Stackoverflow
49reputation
11kreached
3answers
2questions
Github Skills (86)
fastapi10
neural-search10
deep-learning10
jaeger10
opentelemetry10
orchestration10
cloud-native10
multimodal10
fitbit10
llmops10
generative-ai10
pipeline10
grpc10
kubernetes10
leafletjs10
Programming languages (5)
Github contributions (5)
joaopalotti/venezuela_migration
May 2018 - Nov 2019
Contributions:203 pushes in 1 year 5 months
joaopalotti/trectools
Mar 2016 - Jan 2023
A simple toolkit to process TREC files in Python.
Contributions:2 reviews, 135 commits, 21 PRs in 6 years 11 months
python
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