Faraz Ahmed Abir

Software Engineer @ Drag Me | Backend | AI/ML

Software engineer building web and mobile applications to solve real-life problems. Leveraging AI and machine learning to create MVPs for SaaS, with a strong focus on efficiency, scalability, and impactful solutions.

Featured Projects

Drag Me: Fans & Artists
Drag Me: Fans & Artists
A mobile app built with React Native for drag fans and performers. Includes event discovery, ticketing, artist profiles, and monetization features. The backend was developed using Node.js, featuring a custom scraper, data collection system, and secure payment integration to power seamless event listings and transactions
React NativeNode.jsTypeScriptMySQLDockerAWSStripeDjangoPython
Quiz Nest
A platform built for AI-powered admission and job exam preparation. Developed with a modern stack, it features interactive quizzes, analytical reports, and AI-generated explanations to guide learners.
Next jsDjangoDockerpostgreSQL
Linguavid
Linguavid
An AI platform called Linguavid. It translates video while preserving original voices and is planned for movie ,film dubbing, online courses. It uses Python, Django, RabbitMQ, and Next.js. The platform can translate any video while maintaining the original voice.
Next jsDjangoDockerpostgreSQLrabbitMQffmpegwhisper
Rokomari Book Recommendation System
Rokomari Book Recommendation System
Rokomari Recommendation System – A machine learning–based book recommendation platform that uses TF-IDF and cosine similarity to suggest similar titles. The system is powered by FastAPI with an SQLite backend and is fully containerized using Docker for easy deployment. It also comes with a Chrome extension that integrates directly with the service to deliver real-time personalized book recommendations.
FastAPISQLiteDockerPythonTF-IDFCosine Similarity
TVC Visualizer
TVC Visualizer
TVC Visualizer – A real-time 3D visualization tool for thrust vector control (TVC) systems in rockets. Built in Java using OpenGL (via JOGL), it connects to a flight computer over serial communication to display live telemetry—such as pitch, roll, servo positions, and stability metrics. Features include dynamic nozzle movement, animated exhaust effects, and interactive camera controls like rotate, zoom, and debug viewing
C++javaOpenGLJOGLSerial Communication3D Visualizationesp32
Sentimentanalysis-fb (Group named Anti-Feminist Community)
Sentimentanalysis-fb (Group named Anti-Feminist Community)
Facebook Sentiment Analysis – Built an NLP pipeline to analyze Facebook group posts by translating Bangla text to English and applying a Hugging Face transformer model. Includes visualizations like sentiment trends, word clouds, and engagement insights.
PythonScikit-learnPandasMatplotlibSeabornMachine LearningNatural Language ProcessingHugging Face

Skills & Experience

Familiar With

Journey

Sotware Engineer

Currently working as a Full Stack Developer, focusing on end-to-end application development including both front-end and back-end technologies.

2023 - Present

DjangoReact NativeAWSDockerNode jsSpring

Mobile App Development

Developed Various Mobile apps

2022 - 2023

FlutterReact NativeDartTsTailwind

Full Stack Web Development

Started Learning Web Development

2021 - 2022

HTMLJSNodesqlmongodb

Unity Game Development

Developed games using Unity engine and C#

2020 - 2021

C#Unity

First Line Of Code

In 2020, I got my first laptop.

2020

C