Fullstack Engineer - AI with 4+ years in MERN stack & AI/LLM Technologies
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Assessing your cultural and operational fit
Results-driven AI-Powered Full Stack Developer with experience in building scalable web applications using React.js, Next.js, Node.js, Express.js, and MongoDB. Skilled in developing real-time applications, REST APIs, and performance-optimized user interfaces with TypeScript and modern JavaScript technologies. Passionate about system design, scalable architectures, and integrating AI-driven solutions into full-stack applications.
CoffeeWeb Technology Pvt Ltd
Software Engineer (MERN Full Stack Developer)
July 1, 2023 – Present
Bengaluru, Karnataka, India
iLearnPlace
Frontend Engineer
December 1, 2022 – June 1, 2023
Bengaluru, Karnataka, India
Canopi India Pvt Ltd
Software Engineer
May 1, 2022 – November 1, 2022
Bengaluru, Karnataka, India
Realtime Workspace Collaboration
June 1, 2026 – Present
Developed a real-time collaborative workspace application enabling multiple users to collaborate simultaneously with instant data synchronization and live communication using WebSockets using TypeScript, Next.js, React, Node.js, MongoDB, Express.js, and WebSockets.
View ProjectRAG-Based-Profile-Matching
June 1, 2026 – Present
A Retrieval-Augmented Generation (RAG) system that automatically matches and ranks candidate resumes against job descriptions using semantic search and hybrid scoring built entirely in Node.js with no external API keys required. Using Node.js, vectorDB.json, chart.js + canvas, pdfjs-dist, and @xenova/transformers.
View ProjectAI-First Backend Engineer
Airtribe
October 1, 2025 – July 1, 2026
MERN Full Stack Developer
Masai School
June 1, 2022 – February 1, 2023
Cultural Fit Analysis
The candidate's project diversity, including a real-time collaboration tool and an AI-powered profile matching system, indicates a strong interest in innovative and impactful solutions. Their pursuit of an 'AI-First Backend Engineer' certification aligns well with the 'AI' component of the target role, suggesting a proactive approach to skill development and a desire to work with cutting-edge technologies. The breadth of skills across frontend, backend, and AI/LLM technologies makes them a versatile candidate who could contribute to various aspects of a full-stack AI team.
Soft Skills & Operational Fit
The candidate demonstrates a results-driven approach, evidenced by quantifiable improvements in application performance and development time. Their project work on collaborative workspaces and RAG systems indicates an ability to tackle complex problems and a proactive learning attitude towards emerging technologies like AI. The experience in various roles suggests adaptability and a commitment to improving code quality and user experience.