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NickEmma/README.md

πŸ‘‹ Hi, I'm Nicholas Emmanuel β€” MLOps Infrastructure Engineer.

πŸ₯About Me

MLOps Infrastructure Engineer specializing in healthcare AI deployment. I solve the critical question: "How do we safely deploy AI in healthcare?" by building HIPAA-compliant MLOps pipelines, secure cloud infrastructure, and production-ready AI systems that get healthcare organizations from prototype to patient impact.


πŸš€ My Journey: From Full-Stack To MLOps

Started in the UI layer, followed curiosity down the stackβ€”through backend systems, cloud infrastructure, and into the AI lifecycle. Now I architect the infrastructure that keeps healthcare AI running 24/7 in production environments.


πŸ’‘ Technical Expertise

  • Languages: Python, Go, Java, Typescript
  • Infrastructure & Cloud: AWS, GCP, Kubernetes, Docker, Terraform, Infrastructure-as-Code
  • MLOps & AI: Kubeflow, MLflow, TensorFlow Serving, PyTorch, Apache Airflow
  • Healthcare Compliance: HIPAA, SOC 2, FDA guidelines, audit trails, encryption
  • DevOps: CI/CD for ML models, GitOps, monitoring, drift detection

πŸ”§ Featured Projects

🩺 MedFlow Pipeline

HIPAA-Compliant MLOps Pipeline for Medical Diagnostics

  • Automated ML pipeline for cardiac risk prediction with 99.7% uptime
  • HIPAA-compliant data processing, model versioning, and audit trails
  • Stack: Python, Kubeflow, AWS, TensorFlow, Kubernetes
  • Explore MedFlow Pipeline

πŸ“Š AI Model Monitor

Real-time ML Model Drift Detection System

  • Automated monitoring system preventing model degradation in clinical settings
  • Reduces false positives by 60% through advanced drift detection
  • Stack: Python, Prometheus, Grafana, MLflow
  • Explore AI Model Monitor

πŸ”§ MLOps Starter Kit

Open-Source Healthcare MLOps Templates

  • Production-ready CI/CD pipelines for healthcare AI models
  • Adopted by 500+ developers building medical AI systems
  • Stack: MLflow, Kubernetes, Docker, GitHub Actions
  • Explore MLOps Kit

🌱 Current Learning Focus

  • Edge AI for Medical Devices
  • AI Safety & Explainability
  • Advanced Monitoring
  • End To End MLOps

🌍 Let's Build Healthcare AI Together

I'm passionate about the intersection of AI, cloud infrastructure, and healthcare innovation. Always excited to collaborate on projects that can make a real difference in patient care and medical outcomes.

πŸ“§ nicholasemmanuel321@gmail.com
🐦 Twitter
πŸ”— LinkedIn
🌐 Portfolio
πŸ“ Technical Blog


*Building secure, scalable AI infrastructure for healthcare innovation. Let's engineer impact together! πŸš€*

πŸ† "For I know the plans I have for you," declares the Lord, "plans to prosper you and not to harm you, to give you hope and a future." - Jeremiah 29:11

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  1. springboot-rest-api springboot-rest-api Public

    This project is a RESTful API developed using Spring Boot. It serves as a backend service for managing products in a catalog. Users can perform CRUD (Create, Read, Update, Delete) operations on pro…

    Java

  2. GoCloudAuth GoCloudAuth Public

    GoCloudAuth is a scalable login and authentication API built with Go and deployed on AWS. It utilizes AWS Lambda for serverless computing, DynamoDB for a highly available NoSQL database, and API Ga…

    Go

  3. mlops-starter mlops-starter Public

    A minimal hybrid Go/Python MLOps implementation demonstrating

    Go