Jurgia Sanchez

Modernized a high-volume seller case platform using React, TypeScript, Java, Kotlin, Amazon EKS, DynamoDB, and Kinesis, processing 2.5M daily events while improving API response times by 36% and sustaining 99.95% availability. Integrated Bedrock and Claude with retrieval-augmented generation to automate case triage routing for 42% of requests, reducing resolution time by 27%. Designed access-aware hybrid retrieval with structured outputs, confidence scoring, and human-review thresholds to raise accepted response quality from 71% to 91%. Architected event-driven incident-response services using EventBridge, Kinesis, Lambda, CloudWatch, OpenTelemetry, and OpenSearch to reduce MTTR by 38%, and consolidated operational signals to cut duplicate alerts by 46% and inference costs by 34%. Established spec-driven development and automated quality gates to increase test coverage from 71% to 84%, and led architecture reviews and mentoring across 5 teams and 35+ developers to reduce pull-request r

Delivered a React and Spring Boot patient engagement platform serving 20,000+ monthly sessions, shifting 42% of appointments to online self-service and reducing booking time from 11 minutes to under 4 minutes. Improved scheduling reliability using PostgreSQL transactions, Redis reservations, and server-side validation, eliminating 85% of appointment conflicts and lowering no-show rates from 18% to 13%. Orchestrated Kafka-driven microservices in Java, Node.js, and PostgreSQL on AWS to process 1.8M daily shipment events, reducing tracking latency to under 2 minutes with 99.9% availability. Accelerated logistics dashboards using React, TypeScript, WebSockets, Redis, and Elasticsearch, improving response times from 3.4 seconds to 1.2 seconds. Partnered with product, QA, compliance, and vendors to deliver GraphQL/REST/SQS/Lambda integrations with retry and circuit-breaker patterns, reducing third-party failures by 68% and increasing release frequency to 2 per week.

Engineered responsive scheduling features with AngularJS, C#, ASP.NET MVC, and SQL Server, cutting dispatch processing time by 61% across more than 900 monthly service requests. Built RESTful APIs and validation workflows for customer, technician, appointment, and inventory data, reducing incomplete or duplicate records by 35%. Modernized retail ordering using React, Node.js, Express.js, PostgreSQL, and Redis, reducing product-search response times by 38% during approximately 3,000 daily orders. Automated inventory synchronization through APIs, background jobs, and data normalization, reducing update latency from 12–18 hours to under 5 minutes and lowering stock-related cancellations from 6.2% to 2.7%.