Blueshift Active Monitoring

Resolved the restrictive 20-device fetch ceiling on the SolisCloud API, ensuring full-fleet telemetry ingestion without throttling or silent data drops.

Built an estimation engine that infers missing panel configurations and calculates real-time expected yields, filling critical telemetry gaps.

Engineered algorithms to detect shading and underperforming PV strings by comparing current profiles, directly flagging hardware issues.

Analyzed operational efficiency across mixed-string configurations, exposing annualized waste calculations that drove physical re-wiring recommendations.

Developed a diagnostic engine generating automated, actionable insights based on behavioral telemetry, directly surfacing actionable maintenance alerts.

Authored the project's core documentation, including architecture decision records, system flow diagrams, and a data dictionary, now standard onboarding material.

Designed a single ingestion schema normalizing vastly different JSON structures from Solis and Deye inverters into a unified timeseries format.

Migrated legacy databases to a MongoDB Atlas time-series structure, enabling efficient aggregation and querying of high-frequency telemetry data.

Containerized the entire ingestion pipeline and orchestrated automated deployments using Docker and Google Cloud Run for resilient execution.