About
Software Engineer & AI Data Reviewer.
Software engineer focused on AI data quality, backend systems, and scalable web apps.
- Website: raiyannoor.site
- Phone: +8801705941503
- City: Dhaka, Bangladesh
- Degree: M.Sc. CS (in progress)
- Email: raiyannoor@iut-dhaka.edu
- Education: B.Sc. in Software Engineering
Software engineer with hands-on experience building production dashboards, AI-assisted tools, and serverless systems. I focus on clean architecture, reliable APIs, and practical ML integrations. I'm looking to collaborate on impactful products and contribute across the full development lifecycle.
Skills
Programming
Frameworks & Libraries
Tools & Platforms
Concepts
Resume
Summary
Raiyan Noor
Software engineer with experience in AI data review, backend development, and scalable web apps. Focused on clean architecture, reliable APIs, and practical ML integrations.
- Dhaka, Bangladesh
- (+880) 1705941503
- raiyannoor@iut-dhaka.edu
Education
M.Sc. in Computer Science
Feb 2026 - Present
BRAC University
Relevant coursework: Advanced Natural Language Processing, Syntactic Pattern Recognition, Advanced Parallel Algorithms.
B.Sc. in Software Engineering
Jan 2020 - Jun 2024
Islamic University of Technology (IUT)
CGPA: 3.53 / 4.00. Relevant coursework: OOP, DSA, Software Testing & QA, Software Design & Architecture, Cloud Computing, Server Programming.
Experience
Software Engineer for Training AI Data (Part-time)
Oct 2024 - Oct 2025
G2i Inc. (Remote)
- Contributed to code generation AI projects as reviewer and senior reviewer for quality control.
- Specialized in iterative prompt engineering, code review, and refactoring for optimized AI outputs.
Software Engineering Intern
Jun 2023 - Oct 2023
Greentech Apps Foundation (Dhaka, Bangladesh)
- Developed and deployed a review-reply dashboard from scratch for their Play Store apps.
- Conducted R&D on Quran word-by-word synchronization using multilingual LLMs and ML models.
- Gained hands-on experience with dev workflows, Git-flow, Hugging Face models, and Scrum.
Projects
BanglaYEnglish
2026
NextJS, Supabase, Deepseek
- Launching a SaaS product designed to teach English to native Bengali users.
- Uses Deepseek V3 to generate learning content, evaluate submissions, and enable real-time AI conversations.
- Built on a serverless architecture with Supabase for scalability and performance.
AI Gym Buddy
2025
FastAPI, Mediapipe, AWS S3
- Developed an API that reviews gym exercise videos, provides guidelines, and counts reps.
- Uses Mediapipe for skeletal landmarking and pose detection.
- Stores processed videos on S3 for better throughput.
Digital Porichoy
2023
Svelte JS, Django, Firebase
- An online platform where small business owners can create their first online presence with just a few steps.
- Helps clients discover nearby businesses and services with categorical and location-based searching.
- Worked primarily on the frontend and integration of the project.
Little Ada: A Beginners Guide to Programming
2022
React, Express, MongoDB
- An all-in-one code learning platform to visualize, learn, and practice coding.
- Features line-by-line code execution visualization to show how code runs internally.
- Worked on the algorithm visualization and blogging modules.
Reply-Review Dashboard
2023
FastAPI, NextJS, Postgresql
- Built a review-reply dashboard for GTAF's Play Store apps.
- Integrated Google Play Reply-to-Reviews API for feedback tracking and bulk replies.
- Added review caching and an AI reply generation service.
Micro-E-Comm
2023
Spring Boot, MongoDB
- Developed a microservices-based e-commerce platform with four independent services.
- Implemented a service registry and API gateway for client-service communication.
- Used RabbitMQ for interservice messaging.
Microservice Application
2023
Java, Spring Boot
- A personal e-commerce project built entirely with microservices.
- Features four independent services.
- Maintained with a service registry and an API gateway for client-service communication.
- Uses RabbitMQ for interservice messaging.