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Myers-Ty

PROFILE

Myers-ty

Ty Myers developed and enhanced embedded systems across several Northeastern-Electric-Racing repositories, focusing on robust feature delivery and system reliability. In Shepherd-BMS, Ty overhauled cell resistance estimation logic, replacing temperature-based lookups with direct calculations using voltage and current, improving safety and accuracy in battery management. For Embedded-Base, Ty implemented a comprehensive LSM6DSO sensor driver in C, enabling reliable motion data acquisition and streamlined sensor integration. Within Cerberus, Ty refined torque mapping, introduced debugging toggles, and centralized brake state monitoring, enhancing drive responsiveness and safety. Throughout, Ty demonstrated expertise in C programming, driver development, CAN Bus, and real-time embedded firmware.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

8Total
Bugs
0
Commits
8
Features
6
Lines of code
21,336
Activity Months4

Work History

February 2025

2 Commits • 1 Features

Feb 1, 2025

Month: 2025-02. Focused delivery in the Shepherd-BMS repo on improving core cell resistance estimation to enhance safety, accuracy, and reliability of battery management under varying operating conditions.

January 2025

4 Commits • 3 Features

Jan 1, 2025

January 2025 monthly summary for Northeastern-Electric-Racing/Cerberus focusing on feature delivery, safety improvements, and driving performance. Delivered three core enhancements with strong technical and business impact, improving debugging efficiency, drive responsiveness, and brake safety.

December 2024

1 Commits • 1 Features

Dec 1, 2024

For 2024-12, delivered a comprehensive LSM6DSO sensor driver for Northeastern-Electric-Racing/Embedded-Base, including initialization, register definitions, accelerometer/gyroscope data reading, FIFO management, and interrupt detection. The driver provides a robust, feature-rich interface that simplifies motion data acquisition and paves the way for reliable sensor fusion in control and telemetry subsystems. The work was finalized with commit bbfb6c525c1a757d03b43bb4c2a0293078537996 ("Updated driver (#213)").

November 2024

1 Commits • 1 Features

Nov 1, 2024

2024-11 monthly summary for Northeastern-Electric-Racing/Shepherd-BMS: Delivered a DMA-based UART4 transmission feature by updating the _write function to leverage DMA, enabling higher-throughput UART transfers with less CPU intervention. This work enhances telemetry and control messaging performance under high data-rate scenarios while preserving compatibility with the existing UART workflow. Tracking and validation are tied to commit UART DMA (#137) (b659a6f5b7281e8f2ad7d377e0efc5865678c70b). Major bugs fixed: None reported in this scope. Overall impact: improved UART data throughput, reduced MCU load on the transmit path, and increased system responsiveness and reliability for real-time telemetry. Technologies/skills demonstrated: embedded DMA configuration, UART subsystem integration, firmware optimization, and clear commit-based traceability.

Activity

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Quality Metrics

Correctness82.6%
Maintainability80.0%
Architecture80.0%
Performance75.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C

Technical Skills

Battery Management SystemsC ProgrammingCAN BusDMADebuggingDriver DevelopmentEmbedded SystemsFirmware DevelopmentHardware InteractionMicrocontroller ProgrammingMotor ControlRTOSSTM32Sensor IntegrationUART

Repositories Contributed To

3 repos

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

Northeastern-Electric-Racing/Cerberus

Jan 2025 Jan 2025
1 Month active

Languages Used

C

Technical Skills

C ProgrammingCAN BusDebuggingDriver DevelopmentEmbedded SystemsFirmware Development

Northeastern-Electric-Racing/Shepherd-BMS

Nov 2024 Feb 2025
2 Months active

Languages Used

C

Technical Skills

DMAEmbedded SystemsMicrocontroller ProgrammingRTOSSTM32UART

Northeastern-Electric-Racing/Embedded-Base

Dec 2024 Dec 2024
1 Month active

Languages Used

C

Technical Skills

C ProgrammingDriver DevelopmentEmbedded SystemsSensor Integration

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