Mominur Rahman

I'm a Computer Science (CSE) student and AI & Machine Learning Engineer with 3.5+ years of hands-on experience in Python-based data automation and web scraping, now focused on building intelligent, production-ready AI systems.

My journey began with designing scalable automation pipelines and high-volume data extraction systems using Python, Selenium, and Requests, giving me a strong foundation in data sourcing, preprocessing, and pipeline engineering—a critical advantage in modern AI development. Today, I apply that experience to create high-quality datasets that power Machine Learning, Deep Learning, and Generative AI solutions.

I work extensively with PyTorch, FastAI, Hugging Face, and scikit-learn to develop and deploy models for multi-label classification, object detection, and transformer-based applications. I have hands-on experience building Generative AI solutions using LLMs, RAG architectures, and prompt engineering, and deploying models through Gradio, Flask, Docker, and cloud-ready workflows.

What sets me apart is my ability to bridge data automation and AI engineering, enabling true end-to-end systems from raw data collection to model training, evaluation, and deployment. I'm particularly interested in Model Training, Model Fine Tuning, LLMs, RAG-based systems, and real-world AI applications that deliver measurable impact.

I believe in continuous learning, clean engineering, and collaboration, and I'm actively seeking opportunities to contribute to teams building data-driven, intelligent systems. If you're looking for someone who combines strong data foundations with modern AI expertise, I'd love to connect.