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jdmarmen

PROFILE

Jdmarmen

During a three-month period, José David Marmen developed and modernized core battery management features in the HyperloopUPV-H8/adj repository. He built foundational BMSL integration, overhauled data handling for Direct Current Low Voltage (DCLV) packets, and improved state machine observability to enhance system reliability and future scalability. Using C and C++, he refactored code for maintainability, introduced nanosecond-level measurement precision, and streamlined packet structures to support energy management and reduce technical debt. His work included removing obsolete functionality, fixing sensor accuracy, and standardizing communication protocols, demonstrating a deep understanding of embedded systems, data structures, and backend development challenges.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

18Total
Bugs
2
Commits
18
Features
8
Lines of code
479
Activity Months3

Your Network

13 people

Work History

May 2025

4 Commits • 3 Features

May 1, 2025

Monthly work summary for 2025-05 focusing on delivering features, stabilizing the codebase, and enabling future data migrations within the adj repository. The month emphasized aligning data structures with DCLV requirements, expanding measurement precision, and reducing maintenance surface by removing unused functionality.

April 2025

5 Commits • 3 Features

Apr 1, 2025

April 2025 — HyperloopUPV-H8/adj focused on data-plane modernization to improve data reliability, reduce maintenance, and enable energy-management features. Key work included removing obsolete temperature packet functionality, adding Battery SOC and balancing information, and establishing a robust packet handling framework with current packet tracking and DCLV groundwork. These changes simplify data flows, reduce technical debt, and set the stage for future energy-optimization features across systems.

March 2025

9 Commits • 2 Features

Mar 1, 2025

March 2025 performance summary for HyperloopUPV-H8/adj. Delivered foundational BMSL integration, enhanced observability, and ensured data accuracy, strengthening reliability, maintainability, and future scalability. Focused on building the BMSL data path, instrumenting the state machine, and stabilizing measurements, while maintaining code hygiene through maintenance commits.

Activity

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Quality Metrics

Correctness71.2%
Maintainability71.2%
Architecture67.8%
Performance66.6%
AI Usage22.2%

Skills & Technologies

Programming Languages

CC++Python

Technical Skills

Backend DevelopmentBattery Management SystemsC ProgrammingCode OrganizationCommunication ProtocolsData ManagementData StructuresEmbedded SystemsEmbedded Systems DevelopmentPerformance MonitoringRefactoringSensor IntegrationState MachinesTesting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

HyperloopUPV-H8/adj

Mar 2025 May 2025
3 Months active

Languages Used

CC++Python

Technical Skills

Data StructuresEmbedded SystemsPerformance MonitoringSensor IntegrationState MachinesBackend Development

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