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Python automation
Turning a 40-minute task into a 3-minute workflow.
A Python-based BLF → MF4 vehicle log conversion utility for faster troubleshooting and offline testing workflows.
ProjectVehicle log conversion tool
RoleAutomation and HIL engineer
Timeline2024–2025 · Zeekr
StatusInternal engineering utility
01 / Overview
What this work was about
While working with recorded HIL measurements, I streamlined conversion of BLF recordings to MF4 files for downstream analysis and TPT offline workflows.
02 / Challenge
The problem to solve
A repetitive conversion step was taking around 40 minutes per file. The slow turnaround made log triage and repeated analysis needlessly expensive.
03 / Approach
How I approached it
- Reviewed the existing log-processing workflow and identified avoidable performance overhead.
- Optimized Python conversion scripts and batch-processing behavior around BLF and MF4 data.
- Improved usability and repeatability so colleagues could spend less time preparing files and more time investigating behavior.
- Verified output compatibility with the intended downstream analysis workflow.
04 / Outcomes
The value and the result
40 → 3 minPer-file conversion
~92.5%Less processing time
Timing figures come from my professional CV and refer to the reported workflow; they are not a universal benchmark. Client source code and test data are not shared.
05 / Perspective
What it taught me
Automating the bottleneck can yield a larger engineering benefit than adding another dashboard or manual checklist.
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