embedded-purdue/slayterHIL
Feb 2026 – Apr 2026
3 Months active
Languages Used
CC++CSSHTMLJavaScriptPython
Technical Skills
C programmingI2C communicationembedded systemssensor emulationSPI communicationreal-time systems
rkcetin
PROFILE
Rkcetin
Over a three-month period, contributed to the embedded-purdue/slayterHIL repository by developing and enhancing sensor emulation and testing infrastructure for embedded systems. Built a LiDAR emulator using C and I2C communication to simulate distance measurements, enabling hardware-in-the-loop testing without physical devices. Advanced the architecture with a thread-based sensor emulation system, introducing lock-free triple buffering and full-duplex SPI protocols to improve data integrity and determinism. Delivered features such as SPI driver test coverage, a real-time test automation dashboard using C++ and JavaScript, and robust PWM capture for embedded control, focusing on validation, telemetry, and accelerating release cycles through automated workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
5
Lines of code
38,677
Activity Months3
Your Network
30 peopleWork History
April 2026
3 Commits • 3 Features
Apr 1, 2026Concise monthly summary for April 2026: Three features delivered for embedded-purdue/slayterHIL focused on test coverage, real-time monitoring, and embedded control robustness. No major bugs fixed this month; efforts centered on strengthening validation, telemetry, and PWM/RC handling to reduce risk and accelerate release cycles.
3 Commits • 3 Features
Apr 1, 2026Concise monthly summary for April 2026: Three features delivered for embedded-purdue/slayterHIL focused on test coverage, real-time monitoring, and embedded control robustness. No major bugs fixed this month; efforts centered on strengthening validation, telemetry, and PWM/RC handling to reduce risk and accelerate release cycles.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for embedded-purdue/slayterHIL focusing on sensor emulation enhancements and IMU data handling. Implemented a new thread-based sensor emulation architecture, strengthened clock synchronization and handshaking, added a full-duplex SPI protocol with length-prefixed framing to ensure reliable data transmission, and introduced a lock-free triple buffer for IMU data to prevent data corruption during concurrent access. Overall impact: Significantly increased data integrity, determinism, and throughput of sensor emulation. This enables more deterministic tests, reduces risk of data races, and paves the way for higher-fidelity multi-sensor simulations in production pipelines. Commit reference highlights the architectural shift: e5196a7e95cf025b89f7872a162b55cd66b6d480 with notes on 2-thread architecture, clock synchronization, handshaking, and required protobuf changes.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for embedded-purdue/slayterHIL focusing on sensor emulation enhancements and IMU data handling. Implemented a new thread-based sensor emulation architecture, strengthened clock synchronization and handshaking, added a full-duplex SPI protocol with length-prefixed framing to ensure reliable data transmission, and introduced a lock-free triple buffer for IMU data to prevent data corruption during concurrent access. Overall impact: Significantly increased data integrity, determinism, and throughput of sensor emulation. This enables more deterministic tests, reduces risk of data races, and paves the way for higher-fidelity multi-sensor simulations in production pipelines. Commit reference highlights the architectural shift: e5196a7e95cf025b89f7872a162b55cd66b6d480 with notes on 2-thread architecture, clock synchronization, handshaking, and required protobuf changes.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for embedded-purdue/slayterHIL focusing on LiDAR emulator development and testing infrastructure. The work emphasizes hardware-in-the-loop capabilities for LiDAR data without requiring physical hardware, increasing test coverage and development velocity.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for embedded-purdue/slayterHIL focusing on LiDAR emulator development and testing infrastructure. The work emphasizes hardware-in-the-loop capabilities for LiDAR data without requiring physical hardware, increasing test coverage and development velocity.
February 2026
Activity
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Quality Metrics
Correctness84.0%
Maintainability80.0%
Architecture84.0%
Performance80.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
CC++CSSHTMLJavaScriptPython
Technical Skills
C programmingC++ programmingI2C communicationSPI communicationZephyr RTOSback end developmentdevice driversembedded systemsfront end developmentfull stack developmentreal-time systemssensor emulationtesting and validation
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