
Name: Liakat Ali Mondol
Profile: Full-Stack AI Engineer
Current Focus
Agentic System Development 85%Foundational Skills
.NET Framework/Core 85%About me
Full-Stack AI Engineer with a unique journey from enterprise development to cutting-edge agentic systems. Started my career building robust applications with .NET, AWS, Docker, and SQL Server, providing a solid foundation in scalable enterprise architectures and cloud technologies.
Now specializing in the forefront of AI innovation: agentic system development, Model Context Protocol (MCP), and n8n workflow automation. Expert in designing autonomous AI agents that can reason, plan, and execute complex workflows with minimal human intervention.
This unique blend of traditional enterprise skills and modern AI capabilities allows me to build production-ready, scalable AI systems that bridge the gap between established infrastructure and emerging AI technologies. Passionate about creating intelligent systems that leverage both foundational computing principles and advanced AI autonomy.
Specializations
Core areas of expertise in AI/ML and Agentic Systems
Agentic AI Development
Building autonomous AI agents that can reason, plan, and execute complex tasks. Expertise in multi-agent systems, agent orchestration, and creating AI workflows that operate independently with minimal human oversight.
MCP Server Architecture
Designing and implementing Model Context Protocol servers that enable seamless integration between AI models and external systems. Creating robust, scalable MCP infrastructures for enterprise AI applications.
Multi-Agent Systems
Architecting sophisticated multi-agent ecosystems where AI agents collaborate, communicate, and coordinate to solve complex problems. Implementing agent communication protocols and distributed AI reasoning.
AI Workflow Automation
Creating intelligent automation solutions using Dify, n8n, and custom AI pipelines. Building self-improving systems that can adapt and optimize their performance over time.
Enterprise AI Integration
Bridging traditional enterprise technologies (.NET, SQL Server, AWS) with modern AI systems. Creating scalable, production-ready solutions that integrate seamlessly with existing infrastructure.