• Built a Document-AI pipeline for staffing packets (offers, SOWs, POs, background letters) using OCR + LayoutLM/Donut with rule fallbacks, cutting median processing time by 60% and enabling 53% straight-through processing (STP).

• Orchestrated end-to-end Airflow workflows (ingest, classify, extract, validate, write back) with field accuracy above 98%across 25 key fields.

• Built a validation engine (Pydantic + Great Expectations) enforcing business rules (rate within SOW, start/end dates, approvals), plus OpenSearch for clause/field search and full auditability.

• Stood up monitoring for model/data drift, accuracy by doc type, reviewer-edit deltas, and SLA dashboards, enabling proactive quality and reliability management.

• Developed a real-time ingestion microservice using Java and Spring Boot, enhancing data reliability at scale.

• Designed optimized MongoDB schemas and secure REST endpoints for internal analytics and dashboards.

• Implemented robust error handling and alerts, achieving near-zero failed messages in daily operations.

• Established safe rollback procedures, minimizing risks during firmware releases at NeuroLeap Corp.

• Integrated Camunda BPMN workflows for escalations and approvals, reducing manual reviews by 35%.

• Developed secure Node.js/Express REST APIs for position aggregation with input validation and caching.

• Created React risk-analysis screens and reusable components, enhancing task completion time while adhering to WCAG guidelines.

• Automated regression testing with Cucumber BDD, stabilizing sprint releases and minimizing manual testing efforts.