Open to opportunities

Weilun Yuan

@weilunyuan

Message

Senior Software Engineer building production AI platforms across healthcare and industrial domains.

United States

Message

What I'm looking for

I’m looking to lead end-to-end AI platform development—from data ingestion and model training to low-latency inference and backend integration—focused on measurable outcomes and safe, compliant systems in real-world healthcare or industrial settings.

I’m a Senior Software Engineer with over 8 years of experience designing and delivering production-grade AI platforms that power real business operations in healthcare and industrial domains. I turn complex, ambiguous problems into reliable, compliant, and high-impact systems—ensuring outcomes, not prototypes.

At Microsoft, I led an Azure-native AI healthcare copilot that transforms clinical conversations and EHR data into structured documentation and decision-support signals. I’ve built LLM-powered clinical summarization and reasoning pipelines, medical NLP entity extraction and temporal alignment, and time-series risk stratification models—then delivered low-latency inference services and FHIR-compliant backend integration.

Previously at GE Digital, I developed an AWS-based industrial optimization platform for predictive maintenance, including anomaly detection and Remaining Useful Life forecasting from large-scale telemetry. I also delivered mission-critical backend systems at Pactera and built production web tools in an engineering internship—always focused on scalability, quality, and dependable delivery.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Microsoft

Jul 2022 - Present (3 years 11 months)

Led an Azure-based AI healthcare copilot that transforms EHR and clinical conversations into structured documentation and real-time clinical risk signals for regulated enterprise care workflows. Built LLM-powered summarization/reasoning pipelines, medical NLP extraction, and time-series risk models, and deployed low-latency inference services with FHIR-compliant backend integration.

Azure OpenAI Azure Machine Learning Azure Health Data Services FHIR Time Series Models LLM Inference C# .NET

Software Engineer

GE Digital

Jul 2019 - Jul 2022 (3 years)

Developed an AWS-native industrial AI platform for predictive maintenance and operational optimization across large fleets of industrial assets. Built time-series anomaly detection and Remaining Useful Life forecasting pipelines and delivered ML-backed APIs that provide confidence intervals, recommendations, and root-cause insights to operations teams.

AWS Sagemaker Amazon S3 AWS Glue Amazon Timestream Time Series Modeling Anomaly Detection REST APIs Python

Software Engineer

Pactera

Jun 2018 - Jul 2019 (1 year 1 month)

Delivered mission-critical backend systems for data migration, tenant provisioning, and enterprise security workflows supporting active production customer onboarding and compliance-sensitive operations. Built data integrity pipelines and automation to reduce provisioning turnaround time by approximately 60% while improving reliability through stronger test coverage and operational dashboards.

C# .NET Data Migration Microsoft Graph Automation Dashboards

Software Engineer Intern

Synect

Jan 2018 - Apr 2018 (3 months)

Built a production web platform enabling non-technical partners to safely edit, validate, and publish high-volume airline and airport content for live display systems. Implemented schema validation and safe bulk editing to prevent malformed updates, and delivered a real-time WebSocket preview workflow with reliability safeguards such as RBAC and audit logging.

WebSockets Data Validation RBAC Audit Logs JSON Bulk Edit Jest Cypress Reliability Engineering