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Luis Garcés-Erice

PROFILE

Luis Garcés-erice

Worked on metric analytics and distributed data systems, delivering targeted improvements across IBM/unitxt and Velox repositories. Built a configurable confidence interval method for IBM/unitxt metrics, enabling users to select statistical approaches for more flexible and accurate reporting using Python and statistical modeling. In the oap-project/velox repository, addressed reliability in the Parquet read path for cuDF Presto integration by ensuring all necessary columns are included for robust filter pushdown, leveraging C++ and data engineering skills. Additionally, stabilized test infrastructure in facebookincubator/velox by resolving library dependencies with CMake, improving CI reliability and supporting cross-team collaboration on distributed system testing.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

3Total
Bugs
2
Commits
3
Features
1
Lines of code
78
Activity Months3

Work History

June 2026

1 Commits

Jun 1, 2026

June 2026: Stabilized Velox test infrastructure for the velox_cudf_iceberg_deletion_vector_test by adding a required library dependency to the test configuration, enabling correct linking and reliable test execution. This change fixes a linking issue and strengthens CI reliability for Velox-CUDF-ICEBERG integration tests. Commit cc0fbeb76a68e8aa29259459e0dace6c45be2cb0; PR #17767; reviewed by kgpai; Differential Revision: D108171671.

June 2025

1 Commits

Jun 1, 2025

June 2025 monthly summary for oap-project/velox: Focused on reliability improvements in Parquet read path for cuDF Presto integration. Implemented a Parquet reader projection fix to include all columns referenced by subfields and remaining filters, preventing filter failures when required columns are not explicitly read. This enhances query correctness and stability for cuDF Presto workloads, supporting faster analytics and reducing downtime for deployments.

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary for IBM/unitxt focused on delivering a configurable confidence interval method for metrics, enabling more flexible and accurate metric reporting. The work reduces ambiguity in KPI interpretation and supports data-driven decision making across dashboards and reports.

Activity

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Quality Metrics

Correctness96.6%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++CMakePython

Technical Skills

C++CMakeData EngineeringDistributed SystemsParquetPythonQuery OptimizationTestingdata analysisstatistical modeling

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

IBM/unitxt

Apr 2025 Apr 2025
1 Month active

Languages Used

Python

Technical Skills

Pythondata analysisstatistical modeling

oap-project/velox

Jun 2025 Jun 2025
1 Month active

Languages Used

C++

Technical Skills

C++Data EngineeringDistributed SystemsParquetQuery Optimization

facebookincubator/velox

Jun 2026 Jun 2026
1 Month active

Languages Used

CMake

Technical Skills

CMakeTesting