👋 Hi, I'm Nicholas Emmanuel — MLOps Infrastructure Engineer.
Curious mind turned Seasoned Cloud & MLOps Infrastructure Engineer, I specialize in building the backbone that healthcare companies need to deploy AI/ML models safely in production, from predictive diagnostics to AI-powered telemedicine platforms.
My path started in the UI layer and led me down the stack—toward understanding the application layer AI lifecycle, automating ML pipelines, and managing infrastructure that keeps healthcare AI running 24/7.
- Languages: Python, Go, Java, Typescript
- Infrastructure & Cloud: Kubernetes orchestration, AWS, GCP, IaaC, Multi-cloud architecture
- MLOps & AI: Kubeflow, MLflow, TensorFlow Serving, Model monitoring/drift detection
- DevOps: CI/CD pipelines, GitOps, Infrastructure Security & Compliance
AI-Powered Telemedicine Ecosystem
- Led development of a HIPAA-compliant platform using Next.js, Go, and Kubeflow for real-time diagnostics.
- Integrated predictive analytics to reduce patient wait times by 40% and improve care accessibility.
- Explore NeoCareSphere
Open-Source Templates for Model Deployment
- Simplified CI/CD pipelines for AI models using MLflow + Kubernetes, adopted by 500+ developers.
- Explore MLOps Kit
- Infrastructure AI, Design & Automation
- Gen AI Infrastructure optimization
- CNCF tooling ecosystem expansion
- Advanced model monitoring techniques
I'm passionate about blending software craftsmanship with modern DevOps and machine learning practices, particularly in healthcare where tech can make the most impact. Open to collaborating on projects at the intersection of AI, cloud infrastructure, and social impact.
📧 nicholasemmanuel321@gmail.com
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🔗 LinkedIn
🌐 Explore My Work
