Rabeya Khatun Muna is a Full-Stack and AI-focused Software Engineer based in Montreal, QC, with hands-on experience in developing scalable web applications and intelligent systems. She has worked with FastAPI, React, Ruby on Rails, and modern AI tools such as OpenAI and LangChain. Passionate about building smart solutions, she brings strong skills in backend development, LLM integration, cloud deployment (Azure), and CI/CD pipelines. Currently pursuing her MSc in Computer Science (Thesis) at Concordia University, her research explores AI-assisted software development using large language models.
SPEAR LAB
January 2025 - Present
Conducted research at the intersection of Software Engineering and Machine Learning, focusing on LLM-based systems for repository-level bug localization and automated code generation. Leveraged large language models (LLMs) to identify and localize bugs across software repositories by analyzing commit histories, bug reports, and code changes. Developed end-to-end pipelines to collect, preprocess, and align over 200+ fault-localized and generated bug reports
Dexian
April 2024 - September 2024
1. Engineered AI-powered tools using custom LLM prompts for data annotation, classification, and translation. 2. Integrated LLM features via LangChain and OpenAI APIs for enhanced automation. 3. Built scalable systems using FastAPI (Python) and deployed on Azure using Docker and CI/CD. 4. Collaborated with QA, localization experts, and product teams to ensure seamless delivery. Tech: FastAPI, React, Python, Azure, Docker, CI/CD, LLM, OpenAI, HuggingFace, MySQL
Selise Digital Platform
May 2022 - January 2024
Designed and implemented core application logic and APIs for enterprise platforms using Ruby on Rails. Conducted unit testing with RSpec, achieving over 90% test coverage. Managed asynchronous tasks using Redis and Sidekiq. Deployed services in containerized environments using Docker and Kubernetes. Tech: Ruby on Rails, PostgreSQL, Redis, Docker, Kubernetes, RSpec, stimulus.js
Junior Software Engineer
September 2021 - April 2022
Developed a recruitment management system and e-commerce platform with Rails and React. Integrated Google Calendar API for automated interview scheduling. Participated in testing, deployment, and architectural decisions. Tech: Ruby on Rails, React, PostgreSQL, RSpec, MVC, Rest API, Grape API, Graphql
Concordia University, Present
Computer Science
I have developed a web application that combines the flexibility of demand-driven use of holiday properties with the long-term benefits of asset ownership. Key contributions include designing a property management system, implementing secure user authentication, and developing a rule-based booking engine. Built a calendar for bookings, integrated automated notifications and emails for various user roles, and ensured enhanced signup security. Technologies: REST API, MongoDB, RSpec, Swagger, Sidekiq, ActionMailer, Scheduler, reCAPTCHA, FCM, Monolithic Architecture
View ProjectIt is a platform designed to assist users in creating websites for various purposes without requiring any coding skills. It is a platform designed to assist users in creating websites for various purposes without requiring any coding skills. Skills: RabbitMQ · HTML5 · Docker · Microservices · MongoDB · Ruby on Rails · Redis · Stimulus js · Scrum · RSpec · Google Cloud Platform (GCP) · Continuous Integration and Continuous Delivery (CI/CD) · CQRS · Sidekiq · Cascading Style Sheets (CSS) · Software Development Life Cycle (SDLC) · ActiveRecord · PostgreSQL · Figma (Software) · JavaScript
View Project6/22/2022 -2/22/2023
An automated, LLM-powered agent that detects and repairs bugs in software projects using Python, Large Language Models (LLMs), and API calls.
1/7/2025 -4/30/2025
Verified Backend Developer
3-5 years of experience
Preferred commitment: Full Time
Take the next step and bring this top talent to your team
Hire Rabeya for your team