I’m Faris Abdul Sukkur, a Backend and AI/ML Engineer with hands-on experience building machine learning models, automation pipelines, and end-to-end AI workflows using Python. I am skilled in computer vision, LLM integration, model deployment, and performance monitoring, and I enjoy turning complex data challenges into scalable, production-ready solutions. I have worked with TensorFlow, PyTorch, Scikit-learn, and stacks like FastAPI and Docker to deliver robust AI tools, optimize models, automate training pipelines, and monitor performance in production environments. I have translated real-world security and surveillance challenges into robust AI solutions, including a number plate recognition system using YOLOv8. I am also open to frontend projects and collaborations.
I’ve built back-end and ML systems in industry settings, including billing and management, data analytics for customers, and automated NLP pipelines. I’m passionate about learning, collaboration, and delivering reliable, maintainable AI systems that help organizations make data-driven decisions.
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