2023–Present | Software Engineer – Platform / Reliability (Official title: Data Scientist)

Own production correctness and reliability across the order, billing/payment, sample, lab results, and EMR/portal reporting workflows (Kafka, SQL, logs/traces).

Deliver permanent fixes for cross-service consistency failures: duplicate events, out-of-order processing, idempotency, and state-transition mismatches.

Harden billing/payment integrations (ACH, Afterpay, Klarna, payment links) with reconciliation safeguards and failure-mode handling.

Improve observability and incident response with runbooks, RCA templates, and debugging conventions; reduce repeat incidents.

Ship code in Java/Python to validate data contracts, add safety checks, and prevent regressions in high-risk integrations.

2021–2023 | Software Engineer

Built and owned a Java Spring instrument-integration service bridging Kafka order/sample events (sample ID, test list, patient/collection metadata) to ASTM messages for DI and TSP analyzers.

Implemented bidirectional protocol translation: generated ASTM requests to instruments and parsed instrument outputs to ingest lab results into internal services/data pipelines.

Owned production deployment and observability for the instrument messaging pipeline (containerized service, monitoring/alerting), and shipped reliability fixes (structured logging, validation, failure-mode handling).

Implemented Kafka producers/consumers to publish test-status and results events with consistent cross-service delivery.