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
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

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
View Project
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
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

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 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

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 – 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

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)
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

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