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Computer Science Engineer with 12+ years of experience in IT. Top Skills: JavaScript/TypeScript, Node, AWS Lambda, GraphQL, GitHub Copilot
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
poc-ai-agent-integration
June 19, 2026 – Present
This application demonstrates retrieval, context engineering, and AI integration.
View Projectmslearn-copilot-codespaces-python
May 16, 2026 – Present
mslearn-copilot-codespaces-python — GitHub repository
View Projectskills-w-integrate-mcp-with-copilot
May 15, 2026 – Present
Exercise: Integrate Model Context Protocol with GitHub Copilot
View Projectskills-build-applications-w-copilot-agent-mode
May 3, 2026 – Present
Exercise: Build applications with GitHub Copilot agent mode
View Projectskills-scale-institutional-knowledge-using-copilot-spaces
April 22, 2026 – Present
Exercise: Scale Institutional Knowledge Using Copilot Spaces
View Projectride-sharing-app
April 22, 2026 – Present
Build with AI: Uber like system using GitHub Copilot space
View Projectgithub-copilot-learning
April 20, 2026 – Present
Develop with AI-powered code suggestions by using GitHub Copilot and VS Code
View Projectnode-performance-diagnostics
April 13, 2026 – Present
node-performance-diagnostics — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards GitHub Copilot exercises and AI integration POCs. While this demonstrates a proactive learning attitude towards new technologies, it lacks diversity in project types and real-world application scenarios. The alignment with a 'Frontend Developer' role is present through the use of HTML, CSS, and JavaScript, but the depth of frontend-specific projects is limited. The focus on personal exercises rather than collaborative or larger-scale projects makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects are primarily personal exercises focused on AI tooling, which doesn't provide insight into collaboration, problem-solving under pressure, or communication in a team setting.