Software, data & infrastructure,engineered to drive results.

Approach

• Profiled the existing pipeline and identified row-by-row database writes and redundant validation as primary bottlenecks.
• Rebuilt ingestion with SQLAlchemy bulk operations, async I/O for network-bound steps, and set-based validation in PostgreSQL.
• Introduced staging tables and composite indexes aligned to join keys used in spatial assignment and weighting.
• Added row-count gates and golden-file regression checks so speed improvements never traded away correctness.

Results

• Pipeline runtime reduced by up to 40× on representative study volumes.
• Analysts could re-run ETL multiple times per day during methodology reviews.
• Standardized patterns reused across subsequent large mobility studies.

Approach

• Inventoried workflows for time tracking, project management, analysis, and client reporting.
• Mapped each to self-hosted open-source equivalents and piloted with one team before company-wide rollout.
• Deployed Apache Superset with governed metrics, connected PostgreSQL sources, and role-based access.
• Delivered training, documentation, and integration scripts so adoption survived past launch week.

Results

• Predictable infrastructure costs instead of escalating SaaS fees.
• Client and operational data retained in-house with full export control.
• Self-serve dashboards across teams that previously waited on manual reports.

Approach

• Built cross-platform Flutter apps with local SQLite storage mirroring central schema validation rules.
• Implemented background sync queues that replay submissions when connectivity returns, with conflict handling for assignment IDs.
• Paired mobile collection with SurveyJS web forms for tablet workflows with complex branching logic.
• Python ingestion pipelines reconcile submissions, flag quality issues, and load PostgreSQL for analysis.

Results

• Reliable data capture in the field without paper fallback.
• Consistent validation across web and mobile channels.
• Near-real-time progress visibility for study managers when sync is active.

Approach

• Contribute to full-stack features: data-dense UIs, API routes, and calculation logic behind product surfaces.
• Maintain Terraform modules across AWS and Linode for reproducible environments.
• Expand Datadog coverage: service dashboards, log pipelines, and alerts tied to user-impacting paths.
• Participate in code review and secure development practices across application and infrastructure changes.

Results

• Shipping production features on a live platform with version-controlled infrastructure.
• Improved observability and faster incident detection through structured monitoring.
• Right-sized cloud resources contributing to cost and reliability improvements.

Approach

• Built modular detection nodes: SDR for RF, camera inference with YOLO, acoustic feature extraction, and MQTT-based event transport.
• Implemented track fusion with gating, Kalman updates, and threat scoring that consumes classification confidence.
• Developed edge-first C2 dashboard with deck.gl map layers, WebSocket updates, geofencing, and audit logging.
• Recorded sensor replays for regression testing after every detection or fusion tuning change.

Results

• Sub-two-second detection-to-alert paths in lab and field tests.
• Single common operating picture across four fused sensor modalities.
• Geofenced alerting with full audit trail for after-action review.

Approach

• Scheduled collectors with deduplication and enrichment pipelines into PostgreSQL and Elasticsearch.
• Entity resolution graph in Neo4j with confidence-scored edges and interactive link-analysis views.
• Geospatial timeline with time-scrubbing replay and map context from PostGIS.
• Keyword and geofence monitors with deduplicated, prioritized alerting.

Results

• One searchable picture across dozens of source types instead of dozens of browser tabs.
• Link-analysis graphs exposing relationships behind events, not just raw mentions.
• Early-warning alerts with geographic and temporal context.

Approach

• Scheduled ingestion archives every advisory change per country and region as a time series.
• Interactive map and timeline visualize escalations and de-escalations across 210+ countries.
• NLP correlation links advisory changes to nearby news and world events for analyst context.

Results

• Complete queryable advisory history that would otherwise be lost.
• At-a-glance global view of risk trajectory, not point-in-time status.
• Reusable pattern for any institutional feed that overwrites instead of versioning.