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elsie ifeo

@elsieifeo

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Senior software engineer specializing in scalable backend systems and production-ready AI on Azure and AWS.

United States

Message

What I'm looking for

I’m looking for a role where I can build reliable, scalable backend systems and cloud-native AI products on Azure/AWS. I want to design distributed services, deliver production-ready capabilities customers use daily, and collaborate across engineering, researchers, and stakeholders.

I’m a Senior Software Engineer with 8+ years building scalable backend systems, cloud-native applications, and AI-powered products. I enjoy solving complex engineering problems, designing reliable distributed systems, and working across the stack to deliver software that customers use every day.

At Microsoft, I build an Azure-native AI healthcare copilot platform that integrates large-scale EHR and speech data with Azure AI services to produce structured clinical notes and real-time risk signals inside regulated clinical workflows. I designed and built backend services, retrieval and inference pipelines with Azure OpenAI, and medical NLP pipelines for entity extraction, concept normalization, and temporal alignment—while meeting security and compliance requirements.

I’ve also developed AWS-native industrial AI systems for predictive maintenance and operational optimization, including time-series modeling, anomaly detection, and Remaining Useful Life forecasting using AWS SageMaker, S3, Glue, and Timestream. Earlier, I delivered mission-critical backend automation and modernization work, including data migration/validation, enterprise security workflows, and production web experiences with real-time preview using WebSockets—always prioritizing reliability, maintainability, and production readiness.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Microsoft

Jul 2022 - Present (4 years)

Designed and built an Azure-native AI healthcare copilot platform integrating generative AI, medical NLP, and predictive machine learning to produce structured clinical documentation and real-time risk signals. Developed backend services, inference pipelines, FHIR-compliant data ingestion, and Azure ML-managed endpoints used by clinician-facing workflows.

Azure OpenAI Azure Machine Learning Azure Health Data Services FHIR predictive modeling LLM Inference C# .NET Python

Software Engineer

GE Digital

Jul 2019 - Jul 2022 (3 years)

Developed an AWS-based industrial AI platform for predictive maintenance and operational optimization across fleets of industrial assets. Built time-series ML pipelines and backend APIs using AWS services to deliver anomaly detection, remaining useful life forecasting, and prescriptive recommendations.

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

Software Engineer

Pactera

Jun 2018 - Jul 2019 (1 year 1 month)

Delivered mission-critical backend systems and automation for data migration, tenant provisioning, and enterprise security workflows for large-scale platforms. Built data integrity validation pipelines, C#/.NET security services, and provisioning automation using Microsoft Graph and internal APIs.

Data Migration Data Validation C# .NET Microsoft Graph Automation Reporting Systems

Software Engineer Impact

Synect

Jan 2018 - Apr 2018 (3 months)

Built and shipped a customer-facing SaaS web application focused on real-time feedback, schema validation, and operational reliability for live content updates. Implemented safe handling for large JSON payloads and a WebSockets-based real-time preview workflow with auditability and RBAC safeguards.

WebSockets Data Validation Audit Logging RBAC Jest Cypress JSON Payload Validation