jaseci-labs/jaseci
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
backend developmentdatabase optimizationfactory design patternperformance tuningplugin developmentunit testing
Asim Salim
PROFILE
Asim Salim
Worked on the jaseci-labs/jaseci repository to deliver two major backend features focused on extensibility and data-access optimization. Developed extensible factories for deployment targets and image registries, enabling external plugins to register custom configurations without modifying core code. Introduced the Memory.batch_get() API using Python, which fetches multiple anchors in a single database query and eliminates N+1 query issues during graph traversals. Applied the factory design pattern and performance tuning techniques to reduce database load and latency, especially for large graphs. Maintained strong unit test coverage to ensure CI stability, supporting scalable plugin ecosystems and efficient data access across deployments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
450
Activity Months1
Work History
March 2026
2 Commits • 2 Features
Mar 1, 2026Month: 2026-03 – Focused on extensibility and data-access optimization to accelerate deployments and navigation across the graph. Delivered two major capabilities with measurable business impact and laid groundwork for partner-driven extensions and scalable data access. Key outcomes: Extensibility, performance, and quality improvements that reduce operator toil and improve runtime responsiveness for larger graphs and plugin ecosystems.
2 Commits • 2 Features
Mar 1, 2026Month: 2026-03 – Focused on extensibility and data-access optimization to accelerate deployments and navigation across the graph. Delivered two major capabilities with measurable business impact and laid groundwork for partner-driven extensions and scalable data access. Key outcomes: Extensibility, performance, and quality improvements that reduce operator toil and improve runtime responsiveness for larger graphs and plugin ecosystems.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance90.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
backend developmentdatabase optimizationfactory design patternperformance tuningplugin developmentunit testing
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