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AI Agent Engineer | Developer Advocate @fetchai | Building Autonomous Systems (uAgents, MCP, A2A)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fetch.ai
AI Agent Engineer
June 15, 2026 – Present
asi1-vs-code
March 29, 2026 – Present
Fetch Coder — AI coding assistant VS Code/Cursor extension powered by ASI:One with streaming chat, workspace tools, web search, and file generation. Published on VS Code Marketplace.
View Projectpackage-download-stat
November 18, 2025 – December 15, 2025
Package download statistics dashboard — npm and PyPI analytics with interactive charts, author info, and extended stats built with Next.js 14 and Recharts
View Projectasi1-mcp-cli
August 27, 2025 – Present
A powerful CLI for interacting with ASI:One LLM and MCP servers using natural language — no JSON required. Published on PyPI.
View Projectinnovation-lab-examples
June 16, 2025 – Present
A curated collection of comprehensive Fetch.ai Innovation Lab examples, showcasing advanced use cases and detailed implementations beyond the main documentation.
View ProjectfinanceTrackerFrosthack2k25
March 29, 2025 – Present
financeTrackerFrosthack2k25 — GitHub repository
View Projecttwitter-agent
January 27, 2025 – Present
AI tweet generator and posting agent using Fetch.ai uAgents and Composio
View Projectgautammanak.me
October 18, 2022 – Present
Personal portfolio website — projects, skills, photography gallery, and contact info built with Bootstrap and hosted on GitHub Pages
View ProjectuAgents
September 28, 2022 – Present
A fast and lightweight framework for creating decentralized agents with ease.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on AI agents and related tooling, particularly within the Fetch.ai ecosystem, which indicates a good alignment with a company focused on decentralized AI. The breadth of technologies used across projects (Python, TypeScript, JavaScript, HTML, CSS, Shell) suggests adaptability and a willingness to explore different areas. However, the projects are predominantly personal, and there is no information on team collaboration or contributions to open-source projects beyond their own, which limits the assessment of cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a proactive and self-driven individual, but no direct assessment of collaboration, communication, or problem-solving in a team context is available.