AI Engineering Portfolio

As an experienced Software Engineer focusing on AI Products and Applications, I specialize in bridging the gap between cutting-edge AI models and production-ready software.

Featured Project: MySpec.dev

MySpec

Open Beta

[Spec-Driven Development, Multi-Agent System, LLMs]

MySpec.dev is the first AI platform for Spec-Driven Development. It bridges the gap between vague ideas and implementation by interviewing you like a senior architect.

Using four specialized AI agents (Analyst, Architect, Designer, and Reviewer), MySpec extracts project scope, flows, and edge cases, replacing the dreaded blank page. The outcome is a structured, version-controlled specification bundle (constitution.md, requirements.md, solution.md, tasks.md) that serves as the perfect context for coding agents like Cursor or Claude Code.

  • Structured Truth: Generates the exact markdown bundle your coding agents need to succeed.
  • EARS+ Acceptance Criteria: Every requirement ships with testable WHEN/IF/THE-system-SHALL clauses.
  • Vibe Specify'ing: Edit the architecture bundle in plain English, with changes landing as an intuitive diff.
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Other AI Projects

MewClaw

[Python, Anthropic Agents SDK, Docker]

A lightweight alternative to OpenClaw and HermesAgent that runs securely in containers. It features long-term memory, scheduled jobs, and an interactive Web UI Portal. Capable of self-evolution, it seamlessly connects to messaging apps to serve as your autonomous assistant.

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Claude Plugin

[Node.js, Claude Code SDK]

A marketplace and plugin framework for extending Anthropic's Claude Code capabilities with custom Gosu plugins to accelerate development.

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Open Source Contributions

I actively contribute to the open-source AI ecosystem. Some of my notable upstream contributions include:

  • anthropics/claude-code: Contributions to the official Claude Code CLI tool and plugins, improving agentic workflows and developer experience. [1] [2]
  • github/github-mcp-server: Enhancements to the GitHub Model Context Protocol (MCP) server, enabling AI models to better interact with GitHub repositories. [3] [4]

Certifications

My foundational knowledge and continued education in AI and software engineering are backed by the following certifications:

  • Claude Certified Architect (CCA-F)
  • AWS Certified AI Practitioner

AI Training & Consulting Services

Beyond building products, I am passionate about empowering others to leverage AI effectively. I offer specialized training and consulting services for individuals and startup teams looking to integrate AI into their workflows.

  • AI Integration Workshops: Hands-on sessions for teams to understand how to integrate LLMs and AI tools into their existing products.
  • Prompt Engineering & Best Practices: Training on how to interact with AI models to get optimal, reliable, and scalable results.
  • Architecture Consulting: Strategic advice for startups on designing AI-first architectures, selecting the right models (open-source vs API), and managing vector databases.

Interested in working together or leveling up your team's AI capabilities? Get in touch!