React, ReactNative, NodeJS, Python, DevOps, AI-ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
react-ts-js-quiz-built-on-ai-agent
June 12, 2026 – Present
react-ts-js-quiz-built-on-ai-agent — GitHub repository
View Projectaws-cert-studio-with-caching-and-performance-optimisation
June 7, 2026 – Present
aws-cert-studio-with-caching-and-performance-optimisation — GitHub repository
View Projectaws-cert-studio-
June 5, 2026 – Present
using mcp server getting content, quiz, tutorials for exam
View ProjectAI-Agent-for-FD-Cleanup
April 17, 2026 – Present
AI-Agent-for-FD-Cleanup — GitHub repository
View Projectmcp-client-server-document-app
February 26, 2026 – Present
building a basic MCP architecture with client and server
View Projectfastapi-guardrains-langgraph
January 27, 2026 – Present
A small learning-focused app that demonstrates how LangGraph, FastAPI, and Guardrails work together
View Projectlangraph-ragas
January 18, 2026 – Present
A simple agent that recommends books based on a topic.
View Projectargo-workflow-langgraph
January 17, 2026 – Present
A simple document processing pipeline that: Uses LangGraph to create a multi-step AI agent workflow (locally runnable) Uses Argo Workflows to orchestrate the same logic as Kubernetes jobs
View ProjectFirestore
January 21, 2020 – January 21, 2020
A simple HTML app using Firestore as the backend
View Projectkubernetes-multi-pod
July 23, 2019 – January 26, 2023
kubernetes-multi-pod — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse interest in web development (JavaScript, HTML, CSS), AI/ML (LangGraph, AI-Agent), and some foundational DevOps tools (Kubernetes, Argo Workflows, Dockerfile). This breadth suggests a curious and self-driven individual. The alignment with a DevOps role is present through projects like 'kubernetes-multi-pod' and 'argo-workflow-langgraph', indicating a foundational interest in infrastructure and automation. However, the depth of experience in these areas is not fully clear from project descriptions alone. The lack of professional experience or certifications makes it difficult to fully assess cultural fit in a team or corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.