Miguel Costa
Machine Learning Engineer @Grupo QuintoAndar
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WORK HISTORY
Machine Learning Engineer @Grupo QuintoAndar
Rio de Janeiro, BR
Property Deduplication (Quinto Andar, 2024): Engineered a scalable image-deduplication framework leveraging BLIP-2 and SuperGlue embeddings on SageMaker, with vector indexing in Faiss and data stored in S3.Property Price Calculators (Quinto Andar, 2024): Architected a Kubernetes-based FastAPI pricing API on EKS, integrated Grafana Loki & Tempo for observability, and used Argo Rollouts for progressive deployments.
EDUCATION
Pontifícia Universidade Católica do Rio de Janeiro
Bacharelado em Engenharia
ABOUT MIGUEL COSTA
Hello, I’m Miguel Pinheiro.For over 5 years as a professional programmer—and long before that, as a passionate technologist—I’ve viewed programming as a powerful tool to improve everyday life. Whether it was developing a remote-control app for my monitor (I swear I’m not THAT lazy), compensating for vehicle shake with smartphone accelerometers during reading, or designing deep learning algorithms that convert input tensors into high-dimensional embeddings for text-to-image retrieval, my goal has always been to craft creative, practical and helpful solutions.I have hands-on experience with Python and Golang, specializing in constructing robust ETL pipelines and APIs to serve machine learning models. Whether it’s orchestrating a dual-stage similarity pipeline for property deduplication using multimodal image embeddings and fine-grained matching methods, or deploying scalable property price calculators with Kubernetes and AWS EKS, I ensure that each solution not only meets technical demands but also aligns with business objectives.Beyond work, I enjoy playing video games with friends, reading books, watching comedy shows, and spending time with my cats.I guess that’s all, feel free to contact me anytime you want!
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