dice-group/dice-embeddings
Nov 2024 – Sep 2025
2 Months active
Languages Used
PythonMarkdown
Technical Skills
Data ProcessingDeep LearningMachine LearningMemory ManagementModel EvaluationPyTorch
Shivam Sharma
PROFILE
Shivam Sharma
Shivam Sharma contributed to the dice-embeddings and dice-website repositories by developing features that improved data management, evaluation performance, and experiment reproducibility. He enhanced user profile data enrichment in dice-website, increasing personalization accuracy. In dice-embeddings, he implemented batched evaluation for link prediction using PyTorch, optimizing speed and memory usage, and updated benchmarking scripts for compatibility with evolving libraries. Shivam also introduced a reusable run directory workflow for training runs, adding argument parsing and storage cleanup logic to support distributed training scenarios. His work demonstrated depth in backend development, scripting, and testing, resulting in more efficient, maintainable, and scalable machine learning pipelines.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
3
Lines of code
327
Activity Months2
Your Network
36 people
Work History
September 2025
6 Commits • 1 Features
Sep 1, 2025Summary for 2025-09: Delivered a storage-aware improvement to training run management in the dice-embeddings project, enabling flexible reuse of run directories, enhanced storage hygiene, and better guidance for distributed training workflows. The work emphasizes reproducibility, scalable experimentation, and maintainability through tests and documentation updates.
6 Commits • 1 Features
Sep 1, 2025Summary for 2025-09: Delivered a storage-aware improvement to training run management in the dice-embeddings project, enabling flexible reuse of run directories, enhanced storage hygiene, and better guidance for distributed training workflows. The work emphasizes reproducibility, scalable experimentation, and maintainability through tests and documentation updates.
September 2025
November 2024
5 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11: Delivered user profile enrichment and performance-focused evaluation enhancements across two repositories (dice-website and dice-embeddings). Shipped data quality improvements for personal records and speed/memory efficiency gains in link-prediction evaluation, along with a compatibility update to benchmarking tooling. Demonstrated business value through improved personalization data accuracy, faster evaluation cycles, and safer integration with updated libraries.
November 2024
5 Commits • 2 Features
Nov 1, 2024Monthly summary for 2024-11: Delivered user profile enrichment and performance-focused evaluation enhancements across two repositories (dice-website and dice-embeddings). Shipped data quality improvements for personal records and speed/memory efficiency gains in link-prediction evaluation, along with a compatibility update to benchmarking tooling. Demonstrated business value through improved personalization data accuracy, faster evaluation cycles, and safer integration with updated libraries.
Activity
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Quality Metrics
Correctness88.2%
Maintainability89.0%
Architecture83.6%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonTurtle
Technical Skills
Argument ParsingBackend DevelopmentCommand-line InterfaceConfiguration ManagementData ManagementData ProcessingDeep LearningDocumentationExperiment ManagementFile System OperationsMachine LearningMemory ManagementModel EvaluationPyTorchPython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
dice-group/dice-website
Nov 2024 – Nov 2024
1 Month active
Languages Used
Turtle
Technical Skills
Data Management