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Faraz Ahmed
@farazabir
Bangladesh
Anglais
À propos de moi
Hello, I’m Faraz Ahmed Abir, a Computer Science student and professional developer specializing in machine learning, AI, and modern application development. I work with startups and individuals to build scalable, real-world digital solutions, with a focus on cross-platform mobile apps and high-performance web interfaces. My expertise includes Python, Node.js, React, and Java, enabling me to deliver reliable backend systems and intuitive user experiences. I’m passionate about turning ideas into practical, impactful products through clean architecture and smart technology.
Compétences
Faraz Ahmed
hors ligne •
Voir mes services
Intégrations IA
I will create custom ai apps using openai gpt4, langchain, hugging face more
Applications mobiles IA
I will develop ai mobile app and web app custom ai models chatbots gpt with automation
Portfolio
Expérience professionnelle
Software Developer
Drag me • Temps plein
Sep 2023 - Present • 2 yrs 8 mos
Technologies: React Native, Expo, Node.js, Spring Boot, Django, AWS (ECS, ECR, S3, Lambda), RabbitMQ, PostgreSQL, Docker. Developed and deployed a cross-platform mobile app, boosting user engagement by 40%. Streamlined project workflows, enhancing overall efficiency by 25%. Designed and scaled a microservices architecture, improving system performance 3x. Automated event submissions with a Slack bot, reducing manual effort by 70%. Led a team of 2 developers and 1 data engineer, improving workflow efficiency by 40%. Developed eCommerce and chat microservices, increasing user interaction by 60%. Implemented a video-sharing feature using AWS S3, Spring Boot, RabbitMQ, and FFmpeg.
Software Developer
LinguaVid – AI-Powered Video Translation & Voice Cloning • Freelance
May 2025 - Jul 2025 • 2 mos
Technologies: Python, FastAPI, Django, Next.js, Whisper Model, FFmpeg, Docker, RabbitMQ Built an AI-driven pipeline for speech extraction, translation, and synthesis, reducing processing time by 45%. Integrated Whisper Speech model, Google Text-to-Speech, and FFmpeg for high-quality speech-to-text and voice cloning. Deployed scalable microservices with Docker, Django, and FastAPI, enabling low-latency video translation.
