Full Stack Engineer | AI/LLM, RAG, Agents | Node.js, Laravel, Vue
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WIZniche
Frontend Developer
June 24, 2026 – Present
braindump
May 22, 2026 – Present
AI-powered thought organizer - dump freely, AI extracts tasks and links related ideas across every dump.
View Projectagentic-docs-ai
May 3, 2026 – Present
Self-hosted compliance triage and document chat with FastAPI, React, pgvector, and LangGraph
View Projectspine
April 28, 2026 – Present
Generate a personalized reading tour and verified architecture spine for any codebase.
View Projectgraphos
April 21, 2026 – Present
GraphOS is an open-source governance and observability layer designed specifically for LangGraph and the Model Context Protocol (MCP).
View ProjectLangValidator
April 20, 2026 – Present
Self validating LangGraph agent pipeline: every agent output passes through a checkpoint node that scores it and routes to pass, retry with feedback, or halt. Includes rule based, LLM as judge, and semantic validators plus MCP-style fact-check and schema-check tools.
View Projectdeal-agent
April 14, 2026 – Present
Drop in deal documents → get an onboarding plan, draft invoice, and stakeholder summary. Multi-agent LangGraph pipeline with RAG, human approval, and self-correcting retries.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and full-stack development, which might not directly align with a pure Frontend Developer role. While there's a current Frontend Developer role listed, the start date is in the future (2026), making it difficult to assess current professional experience. The diversity of technologies used across projects (Python, PHP, JavaScript, TypeScript) indicates adaptability, but also a potential lack of deep specialization in frontend frameworks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.