Β© 2026 Sumayea Rahman
Building business-driven web applications with financial thinking, AI integration, and modern technology.

My journey from Business Administration to Full Stack Development

My journey into software engineering didn't begin with a Computer Science degreeβit began with curiosity.
I studied Business Administration (MBA), where I developed analytical thinking, communication, and problem-solving skills. Over time, I realized that the problems I enjoyed solving most were the ones that involved building systems, understanding how technology works, and creating solutions that people can use every day.
Today, I focus on building modern web applications using technologies like Next.js, React, TypeScript, Node.js, PostgreSQL,and AI-powered development tools. I enjoy writing clean, maintainable code and designing applications that balance performance, usability, and scalability.
My business background gives me a different perspective. Beyond writing code, I enjoy thinking about users, product decisions, communication, and how technology creates real-world value. I believe strong software is built by understanding both technical challenges and human needs.
Building business-driven applications with modern technology and AI integration
COMPLETEDMulti-agent FinTech system with RAG pipeline, sentiment analysis, and portfolio agents
COMPLETEDDynamic product catalog with persistent cart using LocalStorage
COMPLETEDDatabase design and SQL queries for ticket booking system with 3 tables
IN PROGRESS
IN PROGRESS
COMPLETEDCustomer support system with ticketing and management features
Technologies I work with to build modern applications
My academic journey combining finance, technology, and AI
Jagannath University, Dhaka
Specialized in Financial Management, Investment Analysis, and Corporate Finance.
Jagannath University, Dhaka
Major in Finance and Banking, with coursework in Accounting, Economics, and Business Strategy.
Programming Hero
Full-stack development with AI integration, including LangChain, RAG, and multi-agent systems.
Sharing my learnings, insights, and experiences in tech and finance
Learn how to build a production-ready multi-agent system for financial analysis using LangGraph, Mistral AI, and Gemini API.
Implementing Retrieval-Augmented Generation with PostgreSQL pgvector for production-ready AI applications.