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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. Expert in applied machine learning, generative AI, medical NLP, and large-scale time-series modeling, using Azure and AWS native services. Proven owner of end-to-end AI solutions—from data ingestion and feature engineering to model training, evaluation, low-latency inference, and backend integration. Recognized for strong technical judgment, cross-functional collaboration, and building reliable, compliant systems that deliver measurable outcomes.…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. Expert in applied machine learning, generative AI, medical NLP, and large-scale time-series modeling, using Azure and AWS native services. Proven owner of end-to-end AI solutions—from data ingestion and feature engineering to model training, evaluation, low-latency inference, and backend integration. Recognized for strong technical judgment, cross-functional collaboration, and building reliable, compliant systems that deliver measurable outcomes.

Weilun (Kevin) Yuan

Software Engineer, AI Engineer, Data Scientist, +2

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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. Expert in applied machine learning, generative AI, medical NLP, and large-scale time-series modeling, using Azure and AWS native services. Proven owner of end-to-end AI solutions—from data ingestion and feature engineering to model training, evaluation, low-latency inference, and backend integration. Recognized for strong technical judgment, cross-functional collaboration, and building reliable, compliant systems that deliver measurable outcomes.…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. Expert in applied machine learning, generative AI, medical NLP, and large-scale time-series modeling, using Azure and AWS native services. Proven owner of end-to-end AI solutions—from data ingestion and feature engineering to model training, evaluation, low-latency inference, and backend integration. Recognized for strong technical judgment, cross-functional collaboration, and building reliable, compliant systems that deliver measurable outcomes.

Available to hire

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. Expert in applied machine learning, generative AI, medical NLP, and large-scale time-series modeling, using Azure and AWS native services.

Proven owner of end-to-end AI solutions—from data ingestion and feature engineering to model training, evaluation, low-latency inference, and backend integration. Recognized for strong technical judgment, cross-functional collaboration, and building reliable, compliant systems that deliver measurable outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Chinese

Intermediate

Work Experience

Senior Software Engineer at Microsoft

July 1, 2022 - Present

Built an Azure-native AI healthcare copilot platform that transforms large-scale EHR and speech data into structured clinical notes and real-time clinical risk signals used in care workflows. Led LLM-powered clinical summarization and reasoning pipelines using Azure OpenAI with domain-specific prompt engineering, schema-constrained outputs, confidence scoring, and clinician review workflows for medical accuracy and safety. Implemented medical NLP pipelines for entity extraction, concept normalization, and temporal alignment (symptoms, diagnoses, medications, procedures). Developed predictive ML models for clinical risk stratification (e.g., sepsis risk, readmission likelihood) using time-series vitals, labs, and patient history, trained/evaluated in Azure Machine Learning, and exposed as real-time signals. Designed inference services with Azure ML managed endpoints to meet concurrency and latency requirements for clinician usage. Built backend systems to ingest, validate, and normali

Software Engineer at GE Digital

July 1, 2019 - July 1, 2022

Developed an AWS-based industrial AI platform for predictive maintenance and operational optimization across large fleets of industrial assets. Leveraged SageMaker, S3, Glue, and Timestream to process large-scale industrial telemetry. Built anomaly detection and degradation/asset health models over high-frequency sensor data to enable early fault detection beyond rule-based thresholds. Developed remaining useful life (RUL) forecasting models using historical failures, operating conditions, and time-series feature engineering, trained and deployed via SageMaker. Created scalable multivariate time-series pipelines including normalization, windowing, and domain feature extraction. Implemented root-cause analysis intelligence correlating sensor anomalies, operational states, and incidents to provide probabilistic failure explanations. Exposed predictions, confidence intervals, and prescriptive recommendations via secure APIs to support alert prioritization, asset ranking, and operational

Software Engineer at Pactera

June 1, 2018 - July 1, 2019

Delivered mission-critical backend systems and automation for data migration, tenant provisioning, and enterprise security workflows for large-scale commercial platforms. Focused on data integrity, revenue protection, and modernization of legacy systems into reliable service-oriented architectures. Implemented production-grade data migration and validation systems to prevent pricing, entitlement, and catalog inconsistencies. Designed data integrity pipelines including schema validation, deterministic transforms, reconciliation checks, and rollback safety mechanisms. Contributed to decomposing critical monolith workflows into service-oriented APIs to improve reliability and release safety. Built and maintained enterprise messaging security and hygiene services (C#/.NET) for quarantine management and compliance workflows. Developed automation for tenant provisioning and lifecycle management using Microsoft Graph/internal APIs, reducing provisioning turnaround time by ~60% and eliminati

Software Engineer Intern at Synect

January 1, 2018 - April 1, 2018

Built a production web platform enabling non-technical users to safely manage and publish high-volume airline/airport content data used in live display systems. Implemented schema validation, linting, bulk edit operations, and safe formatting for large JSON payloads to prevent malformed updates reaching production. Developed real-time preview workflows using WebSockets so stakeholders could immediately see changes. Added usability features for high-volume operations such as diff view, search, autosave, undo/redo, and keyboard shortcuts. Added reliability-oriented safeguards including RBAC, change logging, and audit trails, backed by extensive automated tests (Jest, Cypress).