
AI Engineer · LLM systems · RAG · PyTorch · Open to work
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
acp-sdk-zig
April 29, 2026 – Present
Native Zig implementation of the Agent Client Protocol — wire types, transport-agnostic SDK, proxy conductor, trace viewer, reference agent.
View Projectforesight
April 15, 2026 – Present
AI multi-agent scenario simulator. Describe a crisis, watch AI agents — journalists, governments, markets, NGOs — react and influence each other over multiple rounds with real-world data grounding.
View Projectawesome-agent-browsers
April 14, 2026 – Present
awesome-agent-browsers — GitHub repository
View Projectquizler-obsidian
April 11, 2026 – Present
AI-powered quiz generator for Obsidian. Turn your notes into interactive quizzes with 7 question types, 7 AI providers, spaced repetition, and more.
View Projectgraphini
April 5, 2026 – Present
AI-powered diagram editor where every diagram is code. Describe it in plain English, render it as Mermaid or Structurizr C4, version it in git, self-host it anywhere.
View Projectagentforge
March 5, 2026 – Present
Multi-agent LLM research system — LangGraph orchestration, Qdrant vector store, RAG pipelines, LangSmith eval. Built with LlamaIndex + Ragas.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, ranging from AI simulators to developer tools and quiz generators, demonstrate a broad interest in technology and a willingness to explore different domains. This diversity, coupled with the use of various frontend frameworks, suggests adaptability and a curious mindset, which are positive indicators for cultural fit in an innovative environment. The focus on personal projects also highlights a self-starter mentality. The projects align well with a Frontend Developer role, especially those involving interactive UIs and data visualization.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong self-motivation, problem-solving abilities, and a proactive approach to learning new technologies. The descriptions indicate an ability to conceptualize and execute complex ideas, which are valuable for operational fit. However, without formal work experience or psychometric test results, direct assessment of teamwork, stress handling, and communication clarity in a professional setting is not possible.