Opentrons/opentrons
Oct 2024 – Oct 2024
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentBackend DevelopmentLiquid HandlingProtocol EngineState Management
pmoegenburg
PROFILE
Pmoegenburg
Developed a comprehensive volume tracking system for the Opentrons/opentrons repository, focusing on enhancing precision in automated liquid handling workflows. Leveraging Python and backend development skills, the work unified volume estimation across LiquidProbe, LoadLiquid, Aspirate, and Dispense commands by establishing a clear precedence among probed height, tracked volume, and estimated volume. The implementation introduced meniscus-relative volume offsets, improving pipette positioning and measurement fidelity. By fully integrating the new tracking logic into the API surface, the solution increased throughput and reliability for protocol engine operations. The project emphasized robust state management and delivered foundational improvements without requiring major bug fixes during the period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,537
Activity Months1
Your Network
165 peopleSame Organization
@cornell.edu138
Shared Repositories
27
Work History
October 2024
1 Commits • 1 Features
Oct 1, 20242024-10: Delivered Volume Tracking System and Precision in Liquid Handling across the core APIs. Established a unified volume estimation precedence (probed height, tracked volume, estimated volume) and added meniscus-relative volume offsets to improve pipette positioning. API surface fully connected for volume tracking (commit 6812452999bd4b7fbc7b4e55118d2482d120c9d4). No major bugs fixed this month; focus was on delivering this foundational capability to improve accuracy, reliability, and throughput of automated liquid handling.
1 Commits • 1 Features
Oct 1, 20242024-10: Delivered Volume Tracking System and Precision in Liquid Handling across the core APIs. Established a unified volume estimation precedence (probed height, tracked volume, estimated volume) and added meniscus-relative volume offsets to improve pipette positioning. API surface fully connected for volume tracking (commit 6812452999bd4b7fbc7b4e55118d2482d120c9d4). No major bugs fixed this month; focus was on delivering this foundational capability to improve accuracy, reliability, and throughput of automated liquid handling.
October 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentBackend DevelopmentLiquid HandlingProtocol EngineState Management
Repositories Contributed To
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