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Full Stack Engineer with 1+ years in React.js, Node.js & PostgreSQL
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Assessing your cultural and operational fit
Full Stack Developer skilled in React.js, Next.js, Node.js, Nest.js, and PostgreSQL, experienced in building scalable web apps and solving production issues. Familiar with AI tools like Cursor and Codex and learning Generative AI with Python.
Kannur University
B.Sc. · Computer Science
August 1, 2016 – June 30, 2020
Kiebot
Full Stack Developer - OJT Trainee (On-the-Job Training)
December 1, 2025 – March 1, 2026
India
Upcode Software Labs
Full Stack Developer Intern
February 1, 2025 – November 1, 2025
Kannur, Kerala, India
Full Stack CRM Application
June 28, 2026 – Present
Developed a full stack Customer Relationship Management (CRM) system using a separate frontend and backend architecture. Directed a responsive user interface using Next.js for managing leads, deals, tickets, companies, and dashboard analytics. Devised and deployed RBAC framework, reducing unauthorized access by 75% and enabling efficient management of user permissions within the CRM system, improving data security.
View ProjectReact E-commerce User Interface
June 28, 2026 – Present
Built a responsive frontend using React.js with reusable components and dynamic routing via React Router. Ensured mobile-friendly design and maintained codebase with Git.
View ProjectE-commerce REST API
June 28, 2026 – Present
Expanded a scalable backend API using Node.js, Express.js, and MongoDB for managing products, categories, brands, customers, and orders. Enforced CRUD operations using layered architecture (controllers, services, repositories, and models).
View ProjectCultural Fit Analysis
The candidate's personal projects showcase initiative and a passion for building complete applications, which aligns well with a proactive and self-driven culture. The diversity of projects (CRM, E-commerce) and the use of various technologies (frontend, backend, databases, security) indicate a broad interest in full-stack development. The mention of learning Generative AI suggests a forward-thinking approach and willingness to embrace new paradigms, contributing positively to a culture of innovation. However, the limited professional experience (internships) means there's less data to assess collaboration and team dynamics in a long-term setting.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate a problem-solving mindset, particularly in debugging and resolving application issues. The use of Jira suggests familiarity with agile methodologies and task management. The proactive learning of AI tools demonstrates adaptability and a growth mindset, which are valuable for operational fit.