ibm-granite/granite-tsfm
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisDeep LearningMachine LearningPythonTime Series Analysisanomaly detection
summukhe
PROFILE
Summukhe
Worked on the ibm-granite/granite-tsfm repository to enhance time series anomaly detection capabilities by adding fine-tuning scripts and supporting experiments for both univariate and multivariate datasets. Refactored the anomaly detection pipeline to introduce a model parameter and updated dataset classes, improving modularity and enabling end-to-end fine-tuning within the workflow. Focused on accelerating experimentation cycles and tightening validation processes through thorough PR reviews and responsive iteration. Utilized Python, deep learning, and time series analysis to deliver a more flexible and maintainable pipeline, supporting advanced data science workflows and facilitating more robust anomaly detection model development and evaluation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
3,173
Activity Months1
Your Network
15 peopleShared Repositories
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Arindam JatiMember
Arindam JatiMember
Thomas BohnstinglMember
ChernovAndreyMember
Ferran Aran DomingoMember
Lars GrafMember
Michel de RuiterMember
NataliaMember
Stuart SiegelMember
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Monthly Summary - 2025-10 for ibm-granite/granite-tsfm
2 Commits • 1 Features
Oct 1, 2025Monthly Summary - 2025-10 for ibm-granite/granite-tsfm
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisDeep LearningMachine LearningPythonTime Series Analysisanomaly detectiondata sciencemachine learning
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