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Hello! I am

SIFAT NOOR SIAM

AI/ML & Software Engineer

Web Developer • AI/ML Engineer • Software Development • Data Analyst • Problem Solver
Based in Dhaka, Bangladesh. Dedicated to building high-performance applications with 1.5 years of experience in AI, ML, Software and Web development.

Resume
About Me

Innovative Computer Science student and published researcher with expertise in deploying full-stack web applications and end-to-end machine learning systems. I have demonstrated success in building AI-powered mobile applications, authoring peer-reviewed conference papers, and developing high-performance commercial websites using modern frameworks like Next.js and Laravel.

I combine strong theoretical foundations with practical software engineering skills to deliver impactful, intelligent solutions. Dedicated to bridging the gap between advanced research and real-world application.

Sifat Noor Siam
Skills
Python95%
JavaScript90%
Java85%
PHP85%
SQL80%
C++75%
Portfolio
TrevioIT

TrevioIT

A comprehensive IT solution platform for business management and service tracking.

ReactNodeMongo DBExpress
Ceylonztudio

Ceylonztudio

A professional creative studio and robust development hub specializing in high-performance web solutions.

PHPLaravelMySQLAlpine.jsTailwind
Fish Classification AI

Fish Classification AI

Cutting-edge AI application for identifying fish species using deep learning.

PythonTensorFlowReactFlask
Eventisa

Eventisa

A premium event management system for corporate and private gatherings.

Next.jsFirebaseStripeFramer
Shohochor App

Shohochor App

A mobile application integrating a custom-trained object detection model and Google Maps API. Built using React Native, Expo, and Docker.

React NativeExpoDockerMachine LearningGoogle Maps API
Blogs / Publications
Deep Learning for Real-world Applications.
AI / ML

Deep Learning for Real-world Applications.

Exploring the challenges and solutions in deploying CNN models for real-time fish classification and object tracking in production environments. In this area we used Self-supervised machine learning (SimCLR, MOCO, BYOL) to classify the fish.

Bridging the Gap: Academic Research to Production Code.
Research

Bridging the Gap: Academic Research to Production Code.

How I translate theoretical machine learning research into functional, scalable software solutions. A look into my published work and methodologies.

The JavaScript Engine Deep Dive.
JavaScript

The JavaScript Engine Deep Dive.

Understanding memory management, heap vs stack, and how V8 handles Primitive and Non-Primitive data types for high-performance execution.

Architecture of Scalable Next.js Applications.
Web Dev

Architecture of Scalable Next.js Applications.

Best practices for building large-scale, SEO-friendly applications using the App Router, Server Components, and optimized design systems.

Laravel & PHP: Beyond the Basics.
Backend

Laravel & PHP: Beyond the Basics.

Deep diving into Eloquent ORM, Service Providers, and architectural patterns that make Laravel the go-to framework for robust commercial websites.

Advanced React Patterns & Performance.
Frontend

Advanced React Patterns & Performance.

Mastering hooks, context, and state management techniques to build fluid, glassmorphism-inspired user interfaces with zero-latency responses.

Building Shohochor: Object Detection in React Native.
Mobile Dev

Building Shohochor: Object Detection in React Native.

Training a custom object detection model and integrating it into a mobile app using React Native, Expo, Docker, and Google Maps API.

Contact Me

I will love to talk with. Send me email or DM me on my social media

Email : sifatabir2001@gmail.com

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