
AI Engineer with less than a year in MERN Stack & AI Solutions
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Assessing your cultural and operational fit
Highly motivated and results-oriented AI/Full Stack Developer currently pursuing a Bachelor of Engineering in Computer Science. Proven ability in developing responsive web applications using React.js, Node.js, Express.js, and MongoDB (MERN Stack). Skilled in designing AI agents, automating tasks, and implementing CRUD operations, with a strong foundation in core web technologies and database management. Eager to apply technical skills and problem-solving abilities to innovative projects.
KAMARAJ COLLEGE OF ENGINEERING AND TECHNOLOGY
Bachelor of Engineering · Computer Science
August 1, 2022 – June 30, 2026
Chainsys pvt Ltd
AI Developer
December 1, 2025 – May 1, 2026
Madurai, Tamil Nadu, India
VEI Technologies
MERN Stack
June 1, 2025 – June 6, 2025
Tirunelveli, Tamil Nadu, India
Profeena Technology Solutions
Full Stack Developer
May 1, 2024 – July 1, 2024
Madurai, Tamil Nadu, India
Automatic Google Form Creation for Aptitude Test Scheduling
January 1, 2026 – Present
• Developed a system to dynamically generate Google Forms for candidate assessments • Automated test scheduling process for multiple candidates and Improved efficiency in conducting online aptitude tests
Structured Data RAG (NLQ + CouchDB Simulation)
January 1, 2026 – Present
• Fetched structured data from CouchDB and stored it in Pinecone using embeddings • Enabled natural language queries (NLQ) for easy data searching and retrieved relevant records
Food Ordering Application
January 1, 2026 – Present
• Built an Online Food Ordering Application using MERN Stack • Developed functionalities including user login, menu browsing, cart management, and order processing.
View ProjectCultural Fit Analysis
The candidate's project diversity, including AI agent development, RAG systems, and full-stack web applications, suggests adaptability and a broad interest in technology. The internships align with the target role of an AI Engineer, demonstrating a proactive approach to gaining relevant experience. The academic background in Computer Science further supports a foundational fit for a technical role. However, the experience level is entry-level, which might require more mentorship in a senior team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on practical problems and automate processes, suggesting a problem-solving mindset. The internship experiences show exposure to real-world development environments. However, without specific psychometric test results, a detailed assessment of logical reasoning, work attitude, stress handling, and team collaboration is not possible.