Full Stack Engineer with 2+ years in AI-powered SaaS platforms and MERN stack development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Engineer with 2+ years of experience building scalable AI-powered SaaS platforms using React.js, Next.js, and Node.js. Strong expertise in modular frontend architecture, secure REST API development, JWT/RBAC authentication, real-time systems using WebSockets, and performance optimization.
Government Engineering College Haveri – VTU
Bachelor of Engineering (B.E)
N/A – June 30, 2024
Ask Ainstein
Front End Software Engineer
April 1, 2025 – Present
Hyderābād, Telangana, India
Novelti Solutions
Full Stack Developer
February 1, 2024 – March 1, 2025
Bengaluru, Karnataka, India
Cloud Project Experience
June 9, 2026 – Present
Deployed personal full-stack applications on AWS EC2 with environment-based configuration. Hosted static frontend builds on AWS S3 and configured CloudFront for CDN distribution. Managed IAM roles and access policies for secure cloud resource management. Implemented CI/CD pipeline using GitHub Actions for automated build and deployment workflows.
Cultural Fit Analysis
The candidate has experience across two distinct companies, working on AI-powered platforms, which demonstrates adaptability and interest in cutting-edge technologies. The combination of frontend leadership and full-stack development roles, along with personal cloud projects, indicates a proactive and versatile individual. The breadth of skills (MERN, AWS, Docker, CI/CD, security) aligns well with a dynamic full-stack environment, suggesting a good cultural fit for an innovative and fast-paced team.
Soft Skills & Operational Fit
The candidate's experience descriptions indicate strong problem-solving skills (resolving production issues, optimizing performance) and a collaborative approach (API contract design). The focus on modular architecture, reusable components, and CI/CD suggests an operational fit for scalable and maintainable systems. However, direct evidence of communication or teamwork in a non-technical context is limited.