Fernando Otero
Principal Engineer Machine Learning at Mercado Libre
Vicente López, Buenos Aires, Argentina
Summary
🤩
Rockstar🎓
Top SchoolFernando Otero is a Principal Engineer in Machine Learning with 14 years of hands-on experience and a 20+-year software career arc, currently driving ML initiatives at Mercado Libre from Buenos Aires. He has repeatedly built and scaled personalization and recommender systems—most notably leading Rappi’s personalization & search to deliver $15M+ in A/B-driven revenue uplift and growing teams from 2 to 30 engineers. Comfortable across Java, Scala, Python and Go, he combines deep backend and big-data expertise (Spark, Kafka, HDFS) with operational rigor—introducing tech radars, ADRs, cloud-native practices and incident “fire drills” at scale. A pragmatic leader who mentors engineering managers (Plato) and has contributed stability fixes to prominent OSS like spark-jobserver, he blends strategic negotiation skills with hands-on refactoring and dependency work. His background pairs an MS in Computer Science with recent executive-level training in negotiation, making him equally fluent in technical trade-offs and stakeholder alignment.
14 years of coding experience
19 years of employment as a software developer
Negotiation Program Business Administration and Management General, Negotiation Program Business Administration and Management General at Universidad Torcuato Di TellaMS Computer Sciences, MS Computer Sciences at University of Buenos Aires
English, Spanish, French
Stackoverflow
72reputation
559reached
11answers
1question
Github Skills (16)
dependency-management10
spark10
package-management10
scala10
testing9
rest-api9
maven7
java6
spark-jobserver6
apache-spark6
collections6
shell6
jsoup6
google-app-engine6
cordova6
Programming languages (12)
Github contributions (5)
spark-jobserver/spark-jobserver
Jan 2015 - May 2017
REST job server for Apache Spark
Role in this project:
Back-end Developer
Back-end DeveloperContributions:81 commits, 39 PRs, 13 pushes in 2 years 5 months
Contributions summary:Fernando primarily focused on fixing dependencies and resolving import issues within the project. They modified build files and test configurations, indicating a focus on ensuring project stability and correct functionality. Furthermore, the user updated the Spark Job Server's code, refactoring and modifying existing code blocks. These changes likely involved code maintenance, bug fixes, and integration improvements within the existing codebase.
apachesparkjobscalaapache-spark
zeitos/spark-jobserver
Jan 2015 - Jan 2017
Contributions:2 PRs, 91 pushes, 22 branches in 2 years
apachesparkjobscalaapache-spark
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