Open to opportunities

Architecting Logic. Scaling Systems

A passionate Node.js focused Backend Developer, with 2 years of hands-on experience building backend services using Express.js, TypeScript and MongoDB, with a strong focus on API design, security, best practices, database modeling, and scalable service architecture.

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About Me

Masud Rana

Hi! I am Masud Rana, a CSE student and passionate backend engineer dedicated to building modular, secure, and scalable systems.

My journey combines academic rigor with hands-on professional experience, focusing on modern backend technologies, database optimization, security and system architectue. I'm driven by the challenge of solving complex problems. My current major project is an AI-Powered Recruiting Platform utilizing LLM as reasoning model. Beyound backend, also i have hands-on 1.5+ years of frontend development experience with React.js, Next.js, tailwind css, and Redux.

Beyond development, I am deeply involved in learning system design, cloud services like AWS. I am also continously research on machine learning and deep learning like classification, object detection, recognition and Explainable AI (XAI) for academic journals.

Dhaka, Bangladesh
CSE Student

30+

Projects Built

2+

Years Hands-on Experience

2+

Research Papers

Education & Career Path

2021 - 2025

B.Sc in Computer Science and Engineering

Green University of Bangladesh

Deepening practical knowledge in DBMS, Data Structure & Algorithm, OOP, Software Engineering, Operating Systems, Machine Learning and Networking.

2023 - Present

Backend Development

Hands-on Experience

Building scalable REST APIs design, security best practices, schema design, database optimization, query optimization, modular architecture using Node.js, Express, MongoDB, JWT, BullMQ, Zod technologies.

2023 - 2024

Frontend Development

Hands-on Experience

Crafting responsive user interfaces by leveraging React.js, Next.js, Tailwind CSS, TypeScript, CSS3 and Shadcn UI. I focus on building intuitive dashboards and seamless user journeys, utilizing Redux Toolkit and RTK Query for state management and efficient data fetching.

2022 - 2023

Problem Solving

HackerRank

Practicing problem on HackerRank for Data Structure and Algorithms and Object Oriented Programming.

Proficiencies

Technical Skills

Backend Stack

Node.jsExpress.jsTypeScriptMongoDBMongoosePostgreSQLREST APIsBullMQJWTBottleneck

Frontend Stack

React.jsNext.jsRedux ToolkitTailwind CSSShadcnAnt DesignHTML5CSS3Responsive Design

Tools & DevOps

GitGitHubDockerVercelDNS SetupPostmanMongoDB CompassVS Code

Intelligence & Machine Learning

PythonPandasEasy OCRPyTorchBig DataMachine LearningDeep LearningImage Processing

Academic Core

DBMSData StructuresAlgorithmsOOPMLSoftware EngineeringOperating SystemsNetworking

Research & Theory

ClassificationDetection & RecognitionExplainable AILaTeXReview writingComplexity Analysis

Featured Work

Projects That Stand Out

AI-Powered Job Searching Platform

AI-Powered Job Searching Platform

Backend System

A backend-focused full-stack system that automates resume-to-job matching, skill analysis, and data processing through scalable RESTful APIs and background job pipelines.

Node.jsTypeScriptExpress.jsMongoDBRedisBullMQDocker
Travel Tips & Destination Guides

Travel Tips & Destination Guides

Full Stack Web App

A full-stack content-driven web application for travel destinations, featuring structured backend APIs, optimized data delivery, and seamless frontend integration.

Next.jsReactExpress.jsMongoDBTypeScriptRTK QueryTailwind CSS

Strategic Growth

Hands-on Experiences

From internships to full-time roles and active research, here's my professional journey.

AI Powered Recruiting and Job Search

Personal Project

Backend
Dec 2025 — Present

Architecting an AI-powered Recruiting and Job Search platform using Express.js, BullMQ (Worker & Queue) and MongoDB. Integrating Gemini LLM as reasoning model for automated resume-job matching, salary prediction, and skills gap analysis etc.

Key Achievements:

  • Implemented rate-limiting using Bottleneck for API stability.
  • Developed background worker & Queue management to make free event loop.
  • Role based access control (RBAC) for HR and company
  • Developed vector based similarity matching and LLM as reasong model
JavaScriptNode.jsTypeScriptExpress.jsMongoDB

Travel Tips & Destination Guides

Personal Project

MERN Stack
Sep 2024 — Oct 2024

A practical social blogging platform designed for travel enthusiasts to share itineraries, tips, and destination guides.

Key Achievements:

  • Developed a responsive and dynamic user interface using Next.js and Tailwind CSS, featuring seamless navigation and state management via Redux Toolkit.
  • Integrated MongoDB with Mongoose for complex data modeling, including relational links between user profiles, followers, following, and community comments.
  • Implemented secure JWT-based authentication and protected routes to manage subscription and personal travel dashboards.
  • Deployment of frontend and backend to vercel.
MongoDBExpress.jsReact.jsNode.jsJWTTailwind CSS

IT Officer

Yameen Trading

Full-Time
Sep 2025 — Nov 2025

Led technical operations and infrastructure management, focusing on brand identity through modern web architecture and cross-functional developer collaboration.

Key Achievements:

  • Managed Namecheap DNS configurations and hosting.
  • Contracting and overseeing external developers to deliver specialized feature sets.
  • Resolved critical legacy bugs and performance bottlenecks within the core WordPress ecosystem.
Next.jsReactjsShadcnWordPressVercelNamecheap

Software Quality Assurance

QA Harbor Limited

Internship
Jul 2025 — Sep 2025

Executed a comprehensive SQA lifecycle during an academic internship, focusing on both manual and automated testing.

Key Achievements:

  • Designed and documented structured test cases, ensuring 100% coverage of functional requirements and edge cases.
  • Performed end-to-end automated testing using Playwright to identify software stability.
PlaywrightPostmanAPI TestingManual TestingTest Case Design

Attention-Enhanced Bangladeshi Vehicle Plate Detection

Academic Research Paper

Publication
Feb 2025 — Oct 2025

Developed a robust end-to-end framework for detecting and recognizing Bangladeshi license plates under diverse environmental conditions, utilizing custom-enhanced deep learning architectures.

Key Achievements:

  • Modified the YOLOv9 object detection architecture with an integrated Attention Mechanism to improve feature extraction in low-light and high-noise environments.
  • Optimized character recognition by combining EasyOCR with a specialized SSCS (Sequence Scattered Character Search).
  • Conducted extensive data visualization and performance analysis using Matplotlib to validate model precision and recall metrics.
  • Designed complex system architecture diagrams and flowcharts using Lucidchart to illustrate the neural network layers and recognition pipeline.
YOLOv9EasyOCRSSCS AlgorithmPythonMatplotlibLaTeXLucidchart
Masud Rana

Computer Science student focused on building scalable backend architectures and optimizing machine learning model for research.

Contact

Always open for opportunities and collaboration.

Email me at masud.wg@gmail.com

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Available for opportunities