Yes. One example was a concurrency issue I identified and resolved in a SharePoint 2013-based system with custom .NET components. Bug Summary: Two separate document submission forms were intermittently swapping uploaded files. The documents would appear under the wrong record when users submitted at the same time. Environment: SharePoint 2013, C#/.NET backend, custom form modules Reproduction Steps: Open both forms in two browser sessions Attach different documents in each Submit both forms simultaneously (within milliseconds) Expected Behavior: Each document is attached to its respective form submission Actual Behavior: In some cases, the documents were mismatched and saved under the wrong submission record Root Cause: The server was processing both requests in parallel without a mechanism to isolate form state during simultaneous submissions. The document queue was not thread-safe and mishandled the assignment when timestamps were identical. Fix: We implemented a brief delay buffer with request-level locking—ensuring form submissions processed sequentially when identical timestamps occurred. Result: Bug was resolved without degrading performance. No mismatches observed after fix under stress test. Documentation: Logged root cause, patch behavior, and test protocol for regression checks.

I approach bugs as system signal failures—something that should happen doesn’t, or something that shouldn’t happen does. I begin by reproducing the issue in a controlled environment to isolate variables. Once I confirm it’s not a one-off or environment-specific artifact, I log it with exact reproduction steps, environment conditions, expected vs actual behavior, and any relevant console or network output. If the bug isn't directly reproducible, I trace related processes, state changes, or user interactions until the root condition surfaces. I document not just the symptom, but the probable cause and scope of impact. The goal is to provide full clarity for whoever’s fixing it. I also write reports so that they can be acted upon seamlessly after one read.