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Desislava Petkova

PROFILE

Desislava Petkova

During February 2026, Desislava Petkova developed and delivered the Chronos-2 time series forecasting example for the modal-labs/modal-examples repository. She implemented both real-time inference and batch processing capabilities, enabling users to efficiently forecast time series data in various scenarios. Her work included refactoring the project structure by relocating the chronos directory under misc, which improved repository navigation and maintainability. Desislava also authored a concise tutorial to streamline onboarding for both users and developers. Leveraging Python, AWS, and Modal, she demonstrated a complete forecasting workflow, focusing on clarity, reproducibility, and ease of adoption for data science and machine learning practitioners.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
189
Activity Months1

Work History

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 monthly summary for modal-labs/modal-examples: Delivered Chronos-2 Time Series Forecasting Example with real-time inference and batch processing capabilities. Refactored project structure by moving the chronos/ folder under misc and added a concise forecasting tutorial. Demonstrated end-to-end forecasting workflow and improved onboarding for users and developers.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

AWSModaldata sciencemachine learningtime series forecasting

Repositories Contributed To

1 repo

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

modal-labs/modal-examples

Feb 2026 Feb 2026
1 Month active

Languages Used

Python

Technical Skills

AWSModaldata sciencemachine learningtime series forecasting