Inside Kilo Speed: How Our Head of Data Shipped an Identity Resolution System Before His First Full Day

Identity resolution is one of the hardest problems in data engineering. Telemetry, backend, payment platforms, marketing forms---each of these systems contain their own representation of what a user is. Stitching those together requires not only a shared meaning of what represents a single identity, but also mapping edge cases, validating fragile joins and praying nothing silently breaks downstream. Get it wrong and you end up  overcounting users for three years straight . This is also the kind of problem where AI can do real damage. Unless the agent has deep context about how the data is produced, and what it means, the code might compile perfectly. CI turns green. But downstream, a KPI shifts by 5%, your Weekly Active Users (WAU) are suddenly inflated, or your accounting team might be looking at a revenue report that doesn't match reality. Worse: you probably won't find out until a stakeholder pings you three weeks later, leading to a multi-day forensic investigation. When  Pedro Hey