Hi, I'm Avinash Sangle 👋
I'm passionate about building intelligent solutions that bridge the gap between artificial intelligence and traditional software engineering practices. Currently exploring the intersection of AI and DevOps, building tools that make complex operations more accessible through conversational interfaces and intelligent automation.
Passionate about building efficient, scalable, and user-focused AI-powered solutions
Building AI-powered automation and conversational interfaces using Model Context Protocol (MCP). Creating intelligent tools that make complex operations accessible through natural language.
Expertise in scalable cloud architecture, containerization, and microservices design. Certified in Microsoft Azure and Oracle Cloud Infrastructure.
CI/CD pipelines, Infrastructure as Code, and process automation. Specializing in Jenkins automation and integration with AI agents for intelligent DevOps workflows.
Database design and optimization, query performance tuning, and data modeling. Experience with SQL and NoSQL solutions for scalable applications.
Innovative solutions in AI automation, DevOps, cloud infrastructure, and CRM integration
Production SaaS
AI-powered social media management platform with automated posting, multi-platform support, and intelligent content generation.
AI Integration
MCP server enabling AI agents to interact with Jenkins programmatically for automated DevOps workflows.
ChatOps
AI-powered conversational interface for Jenkins to manage builds and deployments via natural language commands.
MCP Server
Robust Go-based MCP server for mathematical computations with comprehensive toolkit for AI applications.
WordPress Development
WordPress development with AI-assisted debugging and code analysis for efficient theme and plugin creation.
Cloud Automation
Deploy cloud infrastructure via natural language with intelligent self-healing automation for AWS, GCP, and Azure.
OAuth Automation
Streamlined OAuth 2.0 setup wizard for Make.com with PKCE security and automatic scenario generation.
CRM Integration
Production-ready MCP server for Method CRM API integration with 20 comprehensive tools for LLM interactions.
Technical capabilities across multiple domains
Deep dives into AI automation, DevOps practices, and cloud architecture
Complete guide to setting up and using the Method CRM MCP Server for AI-powered CRM integration.
Read Article →Case study on integrating conversational AI with Jenkins for intelligent DevOps workflows.
Read Case Study →How to deploy and manage cloud resources using natural language commands and AI agents.
Read Case Study →Common questions about AI automation, MCP, and my services
The Model Context Protocol (MCP) is an open standard that enables AI assistants to connect with external data sources and tools. It allows LLMs to securely interact with APIs, databases, and services through a standardized interface.
I specialize in AI automation, DevOps consulting, cloud architecture, and MCP server development. Services include building AI-powered tools, CI/CD pipeline optimization, and intelligent automation solutions for startups and enterprises.
AI agents can automate DevOps workflows by integrating with tools like Jenkins through MCP servers, enabling natural language commands for builds, deployments, and infrastructure management. This reduces manual intervention and speeds up release cycles.
Yes! I enjoy working with startups and established companies alike. Whether you need help building an AI-powered product, optimizing your DevOps pipeline, or developing custom MCP integrations, I'm happy to discuss your project.
Feel free to reach out for collaborations, opportunities, or just a friendly chat