SHIVAM ARORA
Senior Mern DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Mern Developer with 1+ years in React, Node.js, and MongoDB.
MERN Stack Developer with 1.5+ years of hands-on experience building scalable, responsive web applications for global clients. Skilled in React.js, Node.js, Express.js, MongoDB, REST APIs, and modern frontend frameworks. Experienced in creating secure authentication systems, complex dashboards, role-based access, and integrating third-party services like Stripe, Razorpay, Cloudinary and Twilio. Strong understanding of component architecture, clean code practices, Git workflows, and deployment on Vercel, Render, and AWS. Able to deliver complete modules independently from UI to API deployment.
Chitkara University
Mechanical Engineering · Mechanical Engineering
August 1, 2015 – June 30, 2019
Mount Carmel School
Non-medical CBSE
June 1, 2013 – May 31, 2015
Saupin's School
CBSE 10 th Standard
June 1, 2000 – May 31, 2013
Qualaxis
MERN Stack developer
September 1, 2024 – Present
Chandigarh, Chandigarh, India
Cultural Fit Analysis
The candidate's experience with Qualaxis, a technology services firm serving global clients, suggests adaptability to diverse project requirements and client needs. The listed skills align well with a Senior MERN Developer role, indicating a good technical fit. The breadth of skills covers frontend, backend, and database, which is suitable for full-stack roles. However, with only one professional experience listed, the diversity of projects and exposure to different organizational cultures is limited, making a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with QA, participation in sprint planning, and a focus on improving code quality, suggesting a team-oriented and quality-conscious approach. The interest in 'solving coding problems' indicates a proactive and problem-solving mindset. However, without specific psychometric or behavioral assessment data, a deeper analysis of stress handling, logical reasoning, and work attitude is not possible.