Alisson Da Costa
Machine Learning Engineer Specialist at iFood
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolAlisson Da Costa is a Senior Machine Learning Engineer based in São Paulo with nine years of experience building scalable ML platforms and data pipelines. At iFood he engineered high-throughput feature store components (30K RPS, 12ms P99), refactored SDKs and Spark sinks for ~500K writes/s, and built a Generative AI platform with custom load-balancing to optimize cost and reliability across providers. He combines hands-on systems work in Python, Go, Scala, Spark and Kafka with production observability (Prometheus, Grafana, Datadog) and cloud-native practices (Docker, Kubernetes, AWS, Databricks). His background includes academic research in deep learning for bioinformatics—with published work improving piRNA classification accuracy—and a track record of automating metadata and freshness monitoring to make large-scale feature engineering more reliable. Colleagues rely on him as a technical reference for architecture and design patterns, and he favors pragmatic, performance-oriented solutions that bridge data engineering and ML needs.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at UFSCar - Universidade Federal de São Carlos
English, Portuguese
Stackoverflow
374reputation
57kreached
0answers
3questions
Github Skills (32)
machine-learning7
automation7
python7
orchestration6
neural-network6
keras6
etl6
airflow6
cross-validation6
scikit-learn6
scheduler6
software-design6
data-science6
k8s5
helm5
Programming languages (3)
Github contributions (5)
ahayasic/ahayasic
Dec 2020 - Feb 2022
Contributions:12 commits, 14 pushes, 1 branch in 1 year 1 month
ahayasic/parallel-programming-for-deep-neural-networks-training
Jun 2018 - Oct 2020
Contributions:1 PR, 6 pushes, 1 branch in 2 years 3 months
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