Inject
Controlled failure
Backend · Platform · AI Infrastructure
Complex systems rarely fail for obvious reasons.
I build tools that make their behavior observable, measurable and actionable.
Open to backend, platform, reliability and production engineering roles
SYSTEM FAILURE OBSERVATORYLIVE / RUN #287
NOMINAL
RequestHEALTHY
AgentGridHEALTHY
FaultlineHEALTHY
KubePulseHEALTHY
FairEvalHEALTHY
DetTraceHEALTHY
ReleaseHEALTHY
RESETREADY
Evidence, not adjectives
Proof, not adjectives.
Maintainer-reviewed code. Production signals. Measured failure behavior.
5merged Temporal PRs
100k+telemetry records
1,500+injected failures
73AgentGrid tests
0.0%duplicate commits
+608%latency regression detected
One operating model
Break it. Watch it. Prove it.
Observe
Telemetry + traces
Enforce
Reject or block
Explain
Reproducible proof
01Requestaccepted
02Retrieverconfidence 0.42
03Tool runtimesuccess
04Evaluationreview
05Decisionhuman
REVIEWhuman required
Workflow quality → reviewable.
INCIDENT #2847STATE PRESERVED
worker_aold owner41
worker_bcurrent owner42
FENCINGVALIDATOR
STALE WRITE REJECTED
CORRECTNESS GUARANTEECurrent owner only.STATE PRESERVED
0 dupes1.5k faults37 rejected
Stale writes rejected. State preserved.
Loading diagnostic topology…
01Client✓
02DNS—
03TCP—
04HTTP—
05Service—
06DB—
BROKEN LAYER FOUND
Depth proof · two live instruments
Evidence changes the decision.
GOVERNANCE BOARDFairEval ↗
RELEASE DECISIONBLOCK
Quality PASSSafety PASSGroundedness REVIEWServing BLOCK
Quality gate, not guesswork.
TRACE VIEWERDetTrace ↗
SCRUB TO INCIDENTDIVERGENCE@ STEP 438
expected
replayed
FIRST DIVERGENCE ISOLATED
First divergence found.
Open source
Maintainers accepted the work.
Reviewed and merged outside my repositories.
Engineering writing
Writing from real investigations.
Distributed systems. AI reliability. Production engineering.