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Piotr Żelasko

PROFILE

Piotr Żelasko

Contributed to the NVIDIA/NeMo and NVIDIA-NeMo/Automodel repositories by developing and enhancing features for speech and language model workflows. Built BLEU-based evaluation for ASR pipelines, expanded model support for new decoder inputs and data formats, and modernized documentation to improve onboarding. Implemented automated configuration detection, batch size validation, and checkpoint migration scripts to streamline model deployment and compatibility. Refactored end-to-end test infrastructure and introduced comprehensive functional tests, increasing reliability and CI stability. Addressed bugs related to distributed checkpoint handling and model input processing. Worked primarily with Python, PyTorch, and Bash, applying deep learning, backend development, and testing expertise.

Overall Statistics

Feature vs Bugs

70%Features

Repository Contributions

11Total
Bugs
3
Commits
11
Features
7
Lines of code
17,671
Activity Months3

Work History

March 2026

8 Commits • 4 Features

Mar 1, 2026

March 2026 performance highlights across NVIDIA/NeMo and NVIDIA-NeMo/Automodel focusing on reliability, test coverage, and preparation for production-grade model deployment. Key features include automated bucketing config detection and batch-size validation, a migration script to align checkpoints with current loading requirements, and expanded functional and end-to-end testing. Infrastructure improvements for CI stability and targeted bug fixes reduce runtime failures and misconfigurations, enabling faster feedback and safer rollout of model updates.

February 2026

2 Commits • 2 Features

Feb 1, 2026

February 2026 monthly summary for NVIDIA/NeMo: Delivered core feature enhancements with SALM model support for TDT decoder input and ShareGPT format interoperability; completed NeMo Toolkit documentation cleanup and modernization to improve discoverability and accuracy. No major bugs fixed reported in this period based on provided data. Impact includes expanded model capability, smoother integration in downstream NLP pipelines, and strengthened developer onboarding. Demonstrated technologies and skills in ML/NLP model integration, decoder/input handling, cross-format interoperability, documentation engineering, and repo hygiene.

January 2026

1 Commits • 1 Features

Jan 1, 2026

January 2026 | NVIDIA/NeMo: ASR BLEU Evaluation Enhancement — Added sacrebleu to ASR requirements to enable BLEU-based evaluation of transcription outputs, improving measurement accuracy for ASR/MT pipelines and facilitating standardized benchmarking across models.

Activity

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Quality Metrics

Correctness98.2%
Maintainability87.2%
Architecture92.6%
Performance87.2%
AI Usage38.2%

Skills & Technologies

Programming Languages

BashMarkdownPython

Technical Skills

Audio ProcessingCI/CDContinuous IntegrationData processingDeep LearningMachine LearningMachine learning model managementModel TrainingNatural Language ProcessingPyTorchPythonPython DevelopmentPython scriptingTestingbackend development

Repositories Contributed To

2 repos

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

NVIDIA/NeMo

Jan 2026 Mar 2026
3 Months active

Languages Used

PythonBashMarkdown

Technical Skills

Pythonfull stack developmentmachine learningnatural language processingAudio ProcessingDeep Learning

NVIDIA-NeMo/Automodel

Mar 2026 Mar 2026
1 Month active

Languages Used

Python

Technical Skills

PyTorchdeep learningmachine learningmodel optimization