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@yenaing
yenaing
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Ye Naing yenaing

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yenaing /README.md

Ye Naing

Senior Software Engineer | Architect β€’ AI Systems β€’ Enterprise Architecture β€’ Full-Stack


🧠 Professional Summary

  • πŸ— Architect and engineer with expertise in AI systems, enterprise ERP, and secure edge computing
  • πŸ€– Focused on Transformer-based AI, ONNX Runtime, applied ML, and generative AI
  • πŸ’‘ Strong experience in cloud/on-prem integration, full-stack architecture, and scalable system design
  • πŸ” Open-source contributor and explorer of emerging AI technologies
  • πŸ“ Based in Myanmar

πŸ€– AI & Enterprise Focus Areas

  • AI Systems & ML: Transformer models, NLP, Computer Vision, Generative AI
  • ONNX Runtime & AI Edge: Deployment, optimization, and real-time inference
  • Enterprise ERP: AI-integrated ERP solutions, workflow automation, analytics
  • Cloud & Hybrid Infrastructure: AWS, Azure, GCP, Kubernetes, Docker
  • Secure Systems: Edge security, data privacy, encryption, compliance
  • API & Integration: REST, GraphQL, gRPC, middleware, third-party connectivity
  • Performance Optimization: Scalable, high-performance enterprise applications

πŸ›  Core Technologies & Languages

Python C# Java TypeScript JavaScript Node.js React Docker Linux Kubernetes ONNX AI ERP Cloud Edge Computing


πŸ“Œ Selected Work & Projects

  • Enterprise ERP Platforms: AI-enhanced analytics, workflow automation, real-time monitoring
  • AI Edge Security: Deploying secure ML models at edge devices for anomaly detection
  • Transformer-based AI Systems: NLP pipelines, computer vision frameworks, GenAI apps
  • Cloud & On-Prem Systems: Hybrid deployments with microservices, containerization, high availability
  • Full-Stack Applications: React & Node.js platforms integrated with AI and enterprise workflows

πŸ“Š GitHub Stats

GitHub Stats Top Languages


πŸ“« Contact

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