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Architect designing platforms, modernizing enterprise systems, and building AI architectures.
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Amadeus
Architect Engineering Platforms
June 15, 2026 – Present
a2a-mcp-skillmap
April 23, 2026 – Present
Turn any A2A agent into an MCP tool server. Dynamic skill discovery, multimodal output, stdio + HTTP transports. Zero glue code.
View Projecta2a-wrapper
April 2, 2026 – Present
A2A protocol wrappers that turn AI backends into interoperable agents. Drop a JSON config, get a spec-compliant A2A server. Supports GitHub Copilot SDK, OpenCode, and more.
View Projecta2a-opencode
February 23, 2026 – Present
A2A (Agent-to-Agent) protocol wrapper for OpenCode. Drop a JSON config in, get a fully spec-compliant A2A server out. This project has moved to https://github.com/shashikanth-gs/a2a-wrapper
View Projecta2a-copilot
February 23, 2026 – Present
A2A (Agent-to-Agent) protocol wrapper for the GitHub Copilot SDK. Drop a JSON config in, get a fully spec-compliant A2A server out. This project has moved to https://github.com/shashikanth-gs/a2a-wrapper
View Projectmcp-ssh-bridge
December 31, 2025 – Present
FastMCP-based SSH bridge enabling AI assistants (Claude, ChatGPT, Copilot) to securely execute commands on remote servers. Supports STDIO & HTTP/SSE transports, OAuth 2.0/OIDC authentication, multi-host orchestration, and persistent SSH sessions.
View Projectsemantic-kernel-genai-training
October 29, 2025 – October 29, 2025
This repository offers a structured, beginner-friendly hands-on journey into Semantic Kernel using Python, organised into five progressive stages. Each stage builds foundational understanding and practical skills for working with Semantic Kernel, Microsoft's open-source orchestration framework for AI.
View Projectai-root-cause-analyser
August 29, 2025 – August 29, 2025
ai-root-cause-analyser — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong interest in AI platforms, agent-to-agent communication, and developer tooling, which aligns well with an 'Architect Engineering Platforms' role. The diversity of projects, ranging from protocol wrappers to AI root cause analysis and semantic kernel training, indicates a proactive and continuous learning mindset. However, the experience section only lists a current role as 'Architect Engineering Platforms' starting in the future (2026), which makes it difficult to assess actual professional experience and cultural fit within a corporate engineering platform context. The projects are all personal, which, while demonstrating initiative, doesn't provide insight into collaboration within a team or enterprise environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong inclination towards building foundational platforms and tools for AI integration, suggesting a problem-solving and architectural mindset. The focus on creating reusable components and adhering to specifications points to an organized and detail-oriented approach. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, or communication clarity in a collaborative setting cannot be fully determined.