Biswajit Roy

Biswajit Roy

MERN Stack Developer

Jalpāiguri, IndiaSoftware Engineering
2roles
42skills
4education

About

Full Stack Engineer with 2+ years of experience shipping production React/Next.js applications and AI-integrated systems, including RAG pipelines, LLM APIs, and vector search.

Experience

Fullstack MERN Developer

thebrandwick

2 yrs 3 mos

Software Engineer (React / Next.js)

The Brandwick

Jan 2024 – Mar 2026 · West Bengal, India

Architected Next.js App Router applications using ISR, SSG, and SSR strategies; built a reusable component library with a multi-format document preview engine and comparison UI; created an Axios-based API communication layer with JWT refresh, error normalization, and request deduplication, reducing frontend API boilerplate by approximately 40%; integrated Playwright E2E tests into CI/CD pipelines; implemented real-time UI with WebSockets. Led the frontend of Qoka UK Marketplace, including digital smart contract acceptance and real-time messaging across 24 service categories. Built the Vastu Wisdom international booking platform with location-aware routing and an integrated e-commerce storefront.

Education

Masai

Computer Software Engineering

Jan 2023 - Oct 2023

University Of North Bengal

Bachelor of Science - BS, Zoology/Animal Biology

2013 - 2017

Masai School

Computer Software Engineering

2023

University of North Bengal

B.Sc., Zoology

Skills

JavaScriptMERN StackReduxHTML5ReactNext.jsApp RouterSSRSSGISRTypeScriptJavaScript ES6+Tailwind CSSCSS3WCAG 2.1 AANode.jsExpress.jsREST APIsWebSocketsJWT AuthPythonFastAPIRAG PipelinesLangChainPineconeOpenAI APIGroqGemini FlashPrompt EngineeringMongoDBPostgreSQLRedisMySQLSQLitePlaywrightGitGitHubVercelAxios InterceptorsCI/CDChrome DevToolsJira

Projects

AI Knowledge Assistant — RAG System

Personal project built with Next.js, TypeScript, Node.js, LangChain, and Pinecone. Built a full RAG pipeline with document ingestion, sentence-aware chunking, embedding generation, and semantic retrieval; streamed LLM responses to the frontend; evaluated Groq, Gemini Flash, and OpenAI for latency and cost and selected Gemini Flash for production balance.

Resume Analyzer SaaS — ATS Scoring Tool

Personal project built with Next.js, TypeScript, Node.js, OpenAI API, and Cloudflare R2. Iterated prompt design to produce hirability scores and keyword gap analysis, and added resume preprocessing that reduced token usage and latency by approximately 35%.