Ahmed Fayyaz

Frontend Developer

https://talent.gravityer.com/ahmed-fayyaz

Full Stack Engineer | AI/LLM, RAG, Agents | Node.js, Laravel, Vue

WIZniche

Key Strengths

Demonstrated experience with JavaScript and TypeScript, which are core to Frontend Development.
Exposure to various frontend technologies like CSS, HTML, and SCSS through personal projects.
Experience with React (implied by 'agentic-docs-ai' and 'spine' projects, though not explicitly listed as a skill).

Cultural & Operational Fit

Cultural 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.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

braindump

May 22, 2026 – Present

AI-powered thought organizer - dump freely, AI extracts tasks and links related ideas across every dump.

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agentic-docs-ai

May 3, 2026 – Present

Self-hosted compliance triage and document chat with FastAPI, React, pgvector, and LangGraph

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spine

April 28, 2026 – Present

Generate a personalized reading tour and verified architecture spine for any codebase.

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weather_detection

April 25, 2026 – Present

weather_detection — repository

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graphos

April 21, 2026 – Present

GraphOS is an open-source governance and observability layer designed specifically for LangGraph and the Model Context Protocol (MCP).

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LangValidator

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.

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deal-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.

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animal_image_model

February 11, 2026 – Present

animal_image_model — repository

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scalable-photo

January 4, 2026 – Present

scalable-photo — repository

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news-app

February 23, 2023 – February 23, 2023

news-app — repository

View Project

Key Strengths

Demonstrated experience with JavaScript and TypeScript, which are core to Frontend Development.
Exposure to various frontend technologies like CSS, HTML, and SCSS through personal projects.
Experience with React (implied by 'agentic-docs-ai' and 'spine' projects, though not explicitly listed as a skill).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Ahmed Fayyaz

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit