DiamondLightSource/dodal
Sep 2025 – Sep 2025
1 Month active
Languages Used
Python
Technical Skills
AsyncIOBeamline ConfigurationDevice ControlDevice IntegrationEPICSPython
Shreelakshmi Iyengar
PROFILE
Shreelakshmi Iyengar
Shreelakshmi Iyengar developed new device integrations for the i19-2 beamline in the DiamondLightSource/dodal repository, focusing on BacklightPosition and HDFPanda. She implemented these devices with full configuration and unit testing, establishing a device factory pattern to streamline HDFPanda data acquisition and enable seamless instantiation in the i19_2.py module. Using Python, AsyncIO, and EPICS, her work improved automation and reliability in data collection, supporting faster experimental workflows and broader instrument compatibility. The depth of her engineering is reflected in the robust configuration management and enhanced test coverage, which together reduced setup time and increased the reliability of beamline operations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
55
Activity Months1
Your Network
59 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for DiamondLightSource/dodal. Delivered new i19-2 beamline device integrations (BacklightPosition and HDFPanda) with full implementation, configuration, and unit tests; established a device factory pattern and configuration for HDFPanda data acquisition, including instantiation in i19_2.py. These changes improve automation, data collection reliability, and system extensibility, enabling faster experiments and broader instrument support.
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for DiamondLightSource/dodal. Delivered new i19-2 beamline device integrations (BacklightPosition and HDFPanda) with full implementation, configuration, and unit tests; established a device factory pattern and configuration for HDFPanda data acquisition, including instantiation in i19_2.py. These changes improve automation, data collection reliability, and system extensibility, enabling faster experiments and broader instrument support.
September 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AsyncIOBeamline ConfigurationDevice ControlDevice IntegrationEPICSPythonUnit Testing
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