Different shapes — a data platform, an ML system, an agent platform, a reporting modernization, a SOX-aligned pipeline, and a cross-platform mobile app — but each one running today against real load.
Data platform
Corporate Historian — OT Data Platform
Lead engineer on the central operational data warehouse. TimescaleDB with 15 schemas, 77 tables, 114 PL/pgSQL functions, 1.6M+ daily production records. Star schema, hypertables, continuous aggregates. ETL from CygNet SCADA, Snowflake, MNR; outbound to Grafana and regulatory reporting. Embedded pgai for automated issue detection over operator free-text and semantic search across historical observations.
1.6M+ records/day · 114 PL/pgSQL functions · 15/77 schemas/tables
AI systems
Autonomous AI Agency Platform
10-agent system handling the full client lifecycle — intake, sales, scoping, build, QA, deploy, support, billing, comms, phone — across 8 project types. MiniMax M2.7 primary; Gemini 3 Flash Preview for visual QA. Voice via Pipecat + Telnyx + Deepgram Nova; agents execute inside Cua sandboxes. SvelteKit client portal on Vercel.
10 specialized agents · 8 project types · ~15× cost reduction target
AI at scale
Reporting Modernization — SCRD / ESR / MPR v2
JSON-first replacement for three legacy scorecards (~2,300 entities/closeout). Python packagers on Teradata, Step Functions parallel branch, DynamoDB caching, single vanilla-JS viewer. AWS Bedrock (Claude Haiku 4.5) for auto-narratives + per-KPI explanations via /api/v1/kpi-explain. Closed seven latent defects en route, including an eval()-based templating injection.
~2,300 entities/closeout · 7 defects closed · 13 engineering docs
ML platform
Historian ML — Industrial Anomaly Detection
ML platform over 186M+ telemetry observations. 8 categories of industrial sensor failure. Isolation Forest for unsupervised anomaly detection, Random Forest for pattern classification, LSTM for sensor-level forecasting. Packaged as an AWS CDK stack with a 580-line handoff runbook.
186M+ observations · 8 failure categories · 3 model architectures
DevOps
Hybrid DB Migration CI/CD
5-stage Azure DevOps pipeline on a self-hosted Windows agent. SQL risk classifier (BLOCKED / HIGH / MEDIUM / LOW) over ~30 regex patterns. DROP TABLE foreign-key safeguard. Transactional execution with auto-rollback. SOX-aligned audit logging.
5 stages · ~30 risk patterns · SOX-aligned
Mobile
Field App — Offline-First Tank Inspections
Ionic 8 + Angular 20 + Capacitor. Single codebase → iOS, Android, installable PWA. Offline-first on Dexie / IndexedDB with a write-queue and conflict-resolving sync. AWS AppSync + DynamoDB; Cognito federated to Azure AD via MSAL.
3 targets, 1 codebase · offline-first · enterprise SSO