Hola! You've entered my online studio.
I'm Heet Vekariya, a Highly capable B.Tech Computer Science (AI & ML) professional with expertise in Machine Learning, Large Language Models, and API integrations. Proven ability to deliver impactful solutions, demonstrated through multiple AI hackathon wins and contributions to open source. I am also actively developing skills in marketing and content creation, making me a versatile candidate for technical roles, developer relations, and freelance opportunities. Feel free to explore some of my projects on GitHub, discover my articles on Dev.to, or connect with me professionally on LinkedIn.
Projects
Devto AI Agent
The DevTo AI Agent leverages the power of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to automate and streamline interactions with the Dev.to platform. It enables tasks like article creation, user profile management, comment handling, and follower analysis.
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Linear Regression MCP
Linear Regression MCP demonstrates a complete machine learning workflow using Claude and the Model Context Protocol. Upload a CSV dataset, and Claude will train, preprocess, and evaluate a linear regression model (RMSE).
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Researcher MCP
A MCP (Model Context Protocol) server developed for the Unstructured MCP Virtual Hackathon. The server utilizes the Unstructured API to extract structured data from research paper PDFs, enabling improved workflows for researchers and AI applications.
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Writing
What is an AI Agent?
AI agents are changing the game in 2025, and this blog will help you learn how they can understand tasks, plan actions, and even collaborate with other agents to get things done.
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DevTo AI Agent with A2A and MCP
The DevTo AI Agent leverages the power of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) to automate and streamline interactions with the Dev.to platform. It enables tasks like article creation, user profile management, comment handling, and follower analysis.
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A2A and MCP Combined Implementation
This blog explores the combined implementation of Agent-to-Agent (A2A) and Model Context Protocol (MCP) to enable dynamic communication and tool usage across autonomous AI agents to retrieve real time stock market data.
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Communication Is All You Need - What Is A2A Protocol?
In a world moving toward autonomous AI ecosystems, the Agent-to-Agent (A2A) Protocol enables seamless collaboration between agents across platforms. This blog explores how A2A complements Anthropic’s Model Content Protocol (MCP) to unlock scalable, multi-agent intelligence.
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What Is MCP ?
MCP (Model Context Protocol) is an emerging AI concept that allows AI models to interact directly with external services like GitHub, Figma, and Slack, automating tasks and expanding their functionality. Introduced by Anthropic in late 2024, MCP has the potential to revolutionize how we use AI, making it more integrated and efficient in daily workflows.
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Exciting Open Source Journey
Discover the exciting start to my open-source adventure, from aiming for Hacktoberfest swag to celebrating multiple competition wins and contributions.
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