MLflow has emerged as the leading open-source platform for managing the complete machine learning lifecycle, from experimentation through deployment. This comprehensive guide explores production MLOps patterns using MLflow, covering experiment tracking, model registry, automated deployment pipelines, and monitoring strategies. After implementing MLflow across multiple enterprise ML platforms, I’ve found that success depends on establishing consistent […]
Read more →Author: Nithin Mohan TK
Hello Namaste! 👋🏻
I'm an accomplished Enterprise Solution Architect & Engineering Leader with 20+ years of progressive experience architecting, building, and scaling transformative enterprise solutions.
⚜️ Solution Architect / AI & Cloud 📌 Galway, Ireland
Multi-Agent Orchestration Patterns in Microsoft Agent Framework – Part 7
Master the five orchestration patterns: Sequential, Concurrent, Handoff, Group Chat, and Magentic. Learn when to use each pattern.
Read more →The Dawn of .NET 10 and C# 14: A New Era of Performance and Language Innovation Arrives
November 2025 marks a watershed moment in the history of the .NET ecosystem. With the release of .NET 10, Microsoft has not only cemented the platform’s dominance in cloud-native performance but has also delivered the most requested language features in a decade with C# 14. This release focuses on “Zero-Cost Abstractions 2.0″—pushing the boundaries of […]
Read more →Case Study: Enterprise Healthcare Integration – Building a HIPAA-Compliant Patient-Provider Platform
The Challenge: Healthcare Integration at Scale Solution Architecture: High-Level Design (HLD) ⚖️ COMPLIANCE HIPAA Requirements Met: All PHI encrypted using AES-256 (at rest) and TLS 1.3 (in transit). Comprehensive audit logging captures all data access events with immutable records stored in Azure Monitor. Access controls implement principle of least privilege using Azure AD RBAC with […]
Read more →Workflows: Graph-Based Agent Orchestration in Microsoft Agent Framework – Part 6
Build graph-based workflows connecting multiple agents. Learn executors, edges, conditional routing, and checkpointing for complex business processes.
Read more →Frontend Performance Optimization for AI Applications: Reducing Latency and Improving UX
Frontend Performance Optimization for AI Applications: Reducing Latency and Improving UX Expert Guide to Building Fast, Responsive AI-Powered Frontends I’ve optimized AI applications that handle thousands of tokens per second, and I can tell you: performance isn’t optional. When users are waiting for AI responses, every millisecond matters. When you’re streaming tokens, every frame drop […]
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