Hello, I am
Nishad Mahmud
MERN Stack Developer
I'm a Computer Science student who builds production-grade web applications with React, Next.js, Node.js, and Supabase. My projects range from Kitbase - a privacy-first tools platform with 20+ browser-based utilities - to RoverNote, a social travel journaling SaaS. I also have 5 accepted IEEE and ICCIT publications in deep learning, computer vision, and environmental ML.
Discover
About Me.
Passionate about building intuitive, efficient, and user-friendly software
Hi, I'm Nishad Mahmud
I'm a Computer Science student who builds production-grade web applications with React, Next.js, Node.js, and Supabase. My projects range from Kitbase - a privacy-first tools platform with 20+ browser-based utilities - to RoverNote, a social travel journaling SaaS. I also have 5 accepted IEEE and ICCIT publications in deep learning, computer vision, and environmental ML.
My research focuses on deep learning for plant disease detection and environmental monitoring using YOLOv8/v11 and ML classification models. On the development side, I enjoy building privacy-focused tools, SaaS platforms, and visual simulators.
Computer Science Student
Pursuing Computer Science with a focus on deep learning, computer vision, and applied machine learning research.
MERN-Stack Developer
Building production-grade web applications with Next.js, React, Node.js, and Supabase - from client-side tools to SaaS platforms.
Problem Solver
Love exploring algorithms, software architecture, and creating intuitive user experiences.
Researcher
Published 5 IEEE/ICCIT papers on deep learning for plant disease detection, water quality prediction, and flood hazard classification.
Projects I'm Proud Of
Kitbase
Privacy-first web tools platform with 20+ client-side utilities - no uploads, no tracking
RoverNote
Social travel journaling platform with scrapbook-style stories and interactive world map
Logic Gates Simulator
Java-based digital circuit designer with real-time simulation, K-maps, and timing diagrams
Capabilities
Tools & Technologies.
Software, frameworks, and languages I use to bring ideas to life
Always Learning
I'm constantly exploring new technologies and frameworks to stay current with industry trends. Currently diving deep into cloud architecture, machine learning, and advanced React patterns.
Portfolio
Things I've Built.
2025
2026
2026
Experience
Professional Milestones.
Professional experience and career highlights
Frontend Developer
Squad Innovators↗Building modern web applications and user interfaces with React and Next.js. Contributing to client projects with a focus on performance and user experience.
Frontend Developer Intern
Squad Innovators↗Started my professional journey learning industry best practices and contributing to real-world projects alongside senior developers.
Publications
Accepted Research Papers.
Deep Learning-Driven Leaf Disease Classification in Indoor Plants with YOLOv11: Stable Diffusion Augmentation Approach
AcceptedDeep Learning-Based Leaf Diseases Detection in Indoor Ornamental Plants: A Comparative Study of YOLOv8, YOLOv9, and YOLOv11
AcceptedMachine Learning Approaches to Classify and Predict Water Quality Status in the Surma River, Sylhet, Bangladesh
AcceptedAssessment of Industrial Impacts on Surface Water Quality in Dhaka and Sylhet Rivers, Bangladesh: Using WQI and Machine Learning Models
AcceptedFlood Hazard Classification Using Machine Learning and a Proposed Early-Warning System for Risk Management in Sylhet City, Bangladesh
AcceptedConnect
Get In Touch.
Let's work together to bring your ideas to life
Let's Connect
I'm always open to discussing new projects, creative ideas, or opportunities. Feel free to reach out below.