SAIMON KABIR CHOWDHURY / 2026
I build the systems behind tomorrow’s products: mobile experiences, AI, computer vision and operational software that feels a little like magic and works like engineering.
01 / ABOUT ME
I’m Saimon Kabir Chowdhury — a product-minded developer who enjoys turning rough ideas into working software. I’m most comfortable when a project needs both strong interface thinking and real technical depth.
I started from mobile development and kept moving deeper into the stack: native Android, Flutter, APIs, realtime systems, databases and backend services. That naturally pulled me toward AI and computer vision, because the most interesting products often need more than a polished UI — they need software that can understand, predict or automate.
I approach projects as systems. What does the user need to understand? What data moves behind the screen? Where can the flow fail? What should happen next? I enjoy mapping those questions, designing the experience, and then figuring out how to make the product actually work.
02 / LEARNING + RECOGNITION
Learning that feeds directly into the products, systems and security thinking behind my work.
Cross-platform interfaces, state, APIs and product delivery.
Security fundamentals, responsible testing and disclosure practice.
Practical intelligence for systems that can understand and assist.
SECURITY RESEARCH
Recognition for responsible vulnerability disclosure, plus public security-research rankings.
Technologies I use to turn ideas into reliable products.
Flutter
Android
Java
Dart
Node.js
Python
Firebase
MySQL
Git
03 / PROJECTS
Every project below points to its public GitHub repository. When a browser-accessible build is available, the card also includes a direct way to try it.
A mobile communication product focused on connecting people through a clean, app-first experience.
A mobile video-calling build exploring realtime communication flows and call-focused interaction.
A Flutter dashboard with modular personal tracking, navigation, stats and mood-selection state.
A deployable brain-MRI research application using a Keras classifier, confidence scoring and Grad-CAM explainability.
A compact computer-vision classifier experiment packaged around a simple Gradio-style interaction.
A Next.js cognitive-triage prototype with symptom intake, explainable prioritisation and referral workflow logic.
A responsive animated landing page for a gear-rental marketplace, built as a lightweight browser experience.
An e-commerce codebase exploring product browsing, application structure and commerce-oriented interfaces.
A product experiment around a food-focused digital platform and its customer-facing experience.
More repositories, experiments and older builds live on my GitHub profile.
View all repositories ↗04 / CONTACT ME
I’m interested in products where good UX, engineering and intelligent systems have to work together.