Software Engineer · Polaris Wireless
Full-time · Santa Clara, CA
- Shipped an AI data analysis platform end to end: a streaming agent runtime with disconnection-safe resumable runs, checkpointed state, MCP tools, self-hosted vLLM, JWT/RBAC access controls, human-in-the-loop approval, and an nsjail sandbox for model-generated code. Agents run governed text-to-SQL across five database engines.
- Built a 133-case end-to-end evaluation harness that grades each agent answer in four layers — tool routing, arguments, results, and rendered charts and maps — against a ClickHouse ground-truth oracle. It drove accuracy to 97% and cut suite runtime 57% by fixing the tool-call and grounding defects it exposed.
- Cut co-presence analysis from two minutes to under 30 seconds across billions of mobility records by redesigning the ClickHouse pipeline, and derived and documented its statistical confidence model.
- Built and own production KPI monitoring for customer deployments in two countries using Flask, Grafana, Prometheus, Loki, and Docker: 100+ KPIs across 48 dashboards, 15 alert rules, 15-minute analysis jobs, a web command portal, and monthly reports.
- Developed workflow agents that turn natural-language requests into validated AIGIS API calls, resolving entity and geofence names, parsing dates, and checking parameters.
- Mentored several interns and delegated project tasks to colleagues in India while owning core engineering work.



