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Hello, I’m Supipi Amarajeeva, a Full Stack Engineer specializing in JavaScript and TypeScript (React, Node.js). I design, develop, and deploy web applications in agile environments, with a strong focus on REST API architecture and front-end/back-end integration to optimize performance. I’m currently exploring AI-driven solutions and data engineering, including LLMs, RAG, and token-efficient prompting. I’m passionate about building scalable architectures that combine solid engineering with user-centric UX, and I’m actively working on Insta-Music-Matcher, an LLM-based orchestration system for dynamic playlist generation via Spotify.…Hello, I’m Supipi Amarajeeva, a Full Stack Engineer specializing in JavaScript and TypeScript (React, Node.js). I design, develop, and deploy web applications in agile environments, with a strong focus on REST API architecture and front-end/back-end integration to optimize performance. I’m currently exploring AI-driven solutions and data engineering, including LLMs, RAG, and token-efficient prompting. I’m passionate about building scalable architectures that combine solid engineering with user-centric UX, and I’m actively working on Insta-Music-Matcher, an LLM-based orchestration system for dynamic playlist generation via Spotify.

Supipi Amarajeeva

Full Stack Developer, Front-End Developer, Back-End Developer, +4

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Hello, I’m Supipi Amarajeeva, a Full Stack Engineer specializing in JavaScript and TypeScript (React, Node.js). I design, develop, and deploy web applications in agile environments, with a strong focus on REST API architecture and front-end/back-end integration to optimize performance. I’m currently exploring AI-driven solutions and data engineering, including LLMs, RAG, and token-efficient prompting. I’m passionate about building scalable architectures that combine solid engineering with user-centric UX, and I’m actively working on Insta-Music-Matcher, an LLM-based orchestration system for dynamic playlist generation via Spotify.…Hello, I’m Supipi Amarajeeva, a Full Stack Engineer specializing in JavaScript and TypeScript (React, Node.js). I design, develop, and deploy web applications in agile environments, with a strong focus on REST API architecture and front-end/back-end integration to optimize performance. I’m currently exploring AI-driven solutions and data engineering, including LLMs, RAG, and token-efficient prompting. I’m passionate about building scalable architectures that combine solid engineering with user-centric UX, and I’m actively working on Insta-Music-Matcher, an LLM-based orchestration system for dynamic playlist generation via Spotify.

Available to hire

Hello, I’m Supipi Amarajeeva, a Full Stack Engineer specializing in JavaScript and TypeScript (React, Node.js). I design, develop, and deploy web applications in agile environments, with a strong focus on REST API architecture and front-end/back-end integration to optimize performance.

I’m currently exploring AI-driven solutions and data engineering, including LLMs, RAG, and token-efficient prompting. I’m passionate about building scalable architectures that combine solid engineering with user-centric UX, and I’m actively working on Insta-Music-Matcher, an LLM-based orchestration system for dynamic playlist generation via Spotify.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

French

Advanced

Work Experience

Développeur Full Stack & IA (Stage) at Rivière Yuan EdTech, Lyon

June 1, 2025 - October 1, 2025

Lead full-stack refactor of bilingual EACT platform in TypeScript (React/Node.js) including UX/UI design (Figma), front- and back-end development and deployment. Worked in Agile with client demos. Optimized architecture with backend pagination (PostgreSQL), reducing query data by ~70%, and automated class management via shareable enrollment links, reducing teachers' admin time by ~85%. Designed and deployed a Retrieval-Augmented Generation (RAG) based article analysis agent, cutting manual literature review time by ~60% and saving 3–5 hours per week. Implemented token-efficient prompting strategies lowering API costs ~25% while preserving answer quality.

Erasmus Technical Intern at Art & Science Node, Berlin

July 1, 2024 - September 1, 2024

Implemented SpinFert project site in WordPress, delivered in 8 weeks with custom HTML/CSS/JS components, responsive and cross-browser tested. Integrated two 3D models via Three.js with performance optimizations (media compression, lazy loading). Contributed to an interactive animation for the Orchid project in Processing (Python) with generative algorithms. Supervised two junior interns on WordPress and web fundamentals.