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JavaScript Full Stack Developer ❤ with DevOps, Clouds and Gen AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with DevOps and AI
Frontend Developer
June 26, 2026 – Present
ai-lead-automation-system
April 18, 2026 – Present
Built a full-stack AI-powered lead management system using React, Node.js, and MongoDB, Integrated AI APIs to automate lead qualification and response generation, Containerized application using Docker and deployed on AWS EC2, Implemented CI/CD pipeline using GitHub Actions, Configured Nginx for reverse proxy and production deployment
View ProjectEventify
November 13, 2024 – November 27, 2024
Eventify is a cutting-edge event ticketing web app built with Node.js, Express, and MongoDB, leveraging powerful libraries and frameworks to enhance functionality. It utilizes a microservices architecture for scalability and real-time updates powered by NATS streaming. The front-end, built with React.js, ensures a dynamic and responsive user intrfc
View ProjectStatic-web-page
November 13, 2024 – November 13, 2024
Using HTML5, CSS3, JavaScript to build modern webpage
View ProjectSoftware-Engineering-with-DevOps
August 6, 2022 – January 30, 2025
Add Skill to inhance my in Full Stack Development Application
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and development, with multiple full-stack applications and an interest in AI and DevOps. This self-driven approach could be a good cultural fit for organizations that value continuous learning and initiative. The diversity of projects, from event ticketing to lead automation, suggests adaptability. However, the lack of team-based projects or open-source contributions makes it hard to assess collaboration in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions, while sometimes brief, indicate an interest in full-stack development and modern deployment practices. The 'Software Engineer with DevOps and AI' role suggests an ambition for broader technical responsibilities. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, problem-solving, or stress handling.