Full Stack Engineer with less than a year in Node.js, React.js & LLM Annotation
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 Developer with experience in building scalable web applications using Node.js, Express.js, NestJS, React.js, PostgreSQL, and MongoDB. Skilled in REST API development, OAuth authentication, third-party API integrations, and database optimization. Experienced in Large Language Model (LLM) annotation, prompt engineering, conversational AI dataset creation, and AI response evaluation.
Francis Xavier Engineering College
B.E · Electronics and Communication Engineering
August 1, 2020 – June 30, 2024
Turing
LLM Annotator (Remote)
April 1, 2026 – Present
India
Smackcoders Technologies Pvt Ltd
Software Developer Intern
May 1, 2024 – January 1, 2025
India
Full-Stack Business Management System
June 24, 2026 – Present
Tech Stack: Node.js, Express.js, NestJS, React.js, PostgreSQL, MongoDB • Developed customer and invoice management system with secure authentication. • Built scalable REST APIs following MVC architecture. • Optimized database queries to improve system performance.
Third-Party API Integration Platform
June 24, 2026 – Present
Tech Stack: Node.js, REST APIs, OAuth • Designed integration platform connecting accounting and CRM systems. • Implemented secure token-based OAuth authentication. • Automated data synchronization between multiple SaaS platforms.
JLPT N4 - Japanese Language
Unknown
June 1, 2026 – Present
Introduction to Modern AI
Cisco Networking Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience includes both traditional software development (internship) and a more specialized AI/LLM annotation role. The personal projects demonstrate initiative and a drive to build practical applications. The breadth of technologies used and the interest in AI suggest a curious and adaptable individual. However, the limited professional experience (internship and current LLM role) means there's less data to assess long-term cultural alignment with a typical full-stack engineering team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex systems and integrate various technologies. The LLM Annotator role suggests attention to detail and an analytical approach to problem-solving. However, without direct assessment data, it's difficult to fully evaluate soft skills like teamwork, leadership, or adaptability in a development context.