Rabiul Islam Emon
Full-Stack Developer & IoT Enthusiast crafting production-ready web applications.
Technical Arsenal
Tools and technologies I use to bring ideas to life.
About Me
I am a Full-Stack Software Engineer dedicated to building resilient, data-driven applications that bridge the physical and digital worlds. With a foundation in Computer Science and Engineering, I specialize in crafting high-impact systems using Java Spring Boot, React and Next.js, ensuring seamless integration from backend logic to modern, responsive frontends.
I have experience engineering full-stack applications with secure REST APIs and dynamic frontends, and I’m proficient in machine learning, data preprocessing, and model evaluation.
My technical stack spans across the entire development lifecycle:
- Backend: Java (Spring Boot), RESTful APIs, Microservices, PostgreSQL, Mongodb.
- Frontend: Next.js, React, JavaScript/TypeScript, Mantine UI, Tailwind CSS.
- IoT & Embedded: Microcontroller Programming (C/C++), Sensor Interfacing, Communication Protocols
- Data & ML: Time-series analysis (SARIMA, LSTM), Data Preprocessing, Model Evaluation.
- Tools: Git, Postman, Docker, H2 Database.
Work Experience
Software Engineer – INovex Idea Solution Limited
Jun 2026 – Present | Dhaka, Bangladesh
- Working on core Mobile Device Management (MDM) system handling thousands of users and devices in production.
- Developed dynamic React-based admin dashboard for real-time monitoring and system management.
- Implemented backend services using Spring Boot including REST APIs, authentication, and role-based access control.
- Involved in system engineering tasks such as deployment, live server updates, and production release cycles.
- Maintained server logs and monitored system health for debugging and performance optimization.
Software Engineer Intern – INovex Idea Solution Limited
Nov 2025 – May 2026 | Dhaka, Bangladesh
- Contributing to real-world software development by working with modern web technologies such as Java Spring Boot and React JS.
- Collaborating with a talented team to design, build, and test scalable applications while strengthening understanding of OOP, backend API development, and frontend component design.
- Actively participating in team discussions, exploring new tools and technologies, and assisting in transforming new ideas into working prototypes.
- Documenting features, debugging issues, researching competitor solutions, and contributing to the continuous improvement of products.
- Gaining hands-on experience in building real applications, improving analytical skills, and delivering clean, maintainable code in a collaborative environment.
Academic Research Lead – IoT & Machine Learning (NSU)
Sep 2024 – Dec 2024 | Dhaka, Bangladesh
- Led a project on Home Electricity Consumption Monitoring and future usage forecasting using IoT and Machine Learning.
- Collected home appliance power consumption data using ESP32 and various sensors, storing the data in CSV format via a local Node.js server.
- Utilized the SARIMA model for time-series forecasting, confirming data stationarity with the Augmented Dickey-Fuller Test.
- Tested an LSTM model against custom-collected data to further validate forecasting capabilities.
- Achieved a Mean Squared Error of 7.071 in model evaluation.
Volunteering Experience
Senior Member – NSU ACM Student Chapter
Mar 2021 – Jun 2024 | 3 yrs 4 mos
- Enthusiastic senior member at NSU ACM Student Chapter with a passion for fostering a collaborative tech community.
- Actively involved in organizing and participating in events.
- Volunteered at the Hour of Code event on December 11, 2021, introducing participants to the joys of coding and promoting digital literacy.
- Eager to continue making a positive impact in the tech world. #NSUACM #TechEnthusiast #HourOfCodeVolunteer
Featured Work
A selection of projects ranging from full-stack web applications to machine learning models and IoT prototypes.


Stroke Prediction ML
Machine Learning model capable of predicting stroke probability with high accuracy using ensemble methods and advanced data preprocessing.
Click to view gallery


Effluent Treatment Plant (ETP) Monitoring System
Built a device to monitor industrial ETP water quality in real-time. Implemented the IFTTT API with an ESP32 to continuously read sensor data and automatically log it into a Google Spreadsheet. Utilized the Blynk IoT API to visualize live data on a mobile app and web dashboard, making it accessible from anywhere.
Click to view gallery
Let's Connect
Have a project in mind? Let's build something amazing together.

Rabiul Islam Emon
Full Stack Developer
I'm currently available for freelance work and full-time opportunities. If you have a project that needs some creative touch, I'd love to hear about it.
© 2026 Rabiul Islam Emon. Built with ❤ & Next.js.