About Me

Hi, This is Muhammad Faiz Raza. With years of hands-on experience in Generative AI, Agentic Workflows and Data Analytics, I specialize in building AI-driven solutions using Large Language Models (LLMs), Agentic AI, and scalable automation pipelines. My work includes developing LLM-powered chatbots, autonomous assistants, ML model trainings for industrial usecases and data-centric tools for both startups and enterprise R&D.

I help businesses unlock the full potential of AI by identifying gaps in manual workflows and transforming them into intelligent, automated systems. From AI-powered recruitment flows to voice assistants for healthcare scheduling, I deliver custom AI products that are not only technically robust, but also aligned with business needs and user experience.

My dedication and contributions have been recognized through achievements such as securing 2nd position in the Simulink Contest at SEECON'23 and being awarded the 1st position by the founder & chairman of SkyElectric at the AI Bootcamp hosted at GIKI. I'm passionate about solving real-world problems through intelligent automation and practical AI. I believe in blending innovation with impact — using advanced technology to create scalable, meaningful solutions that drive measurable results for individuals and businesses alike.

What I Do

AI & Machine Learning

Building intelligent systems using deep learning, natural language processing, and computer vision techniques.

Data Science

Extracting insights from complex datasets using statistical analysis, visualization, and predictive modeling.

MLOps & Deployment

Designing scalable ML pipelines and deploying models to production environments with robust monitoring.

Technical Writing

Creating comprehensive tutorials and documentation to make complex AI concepts accessible to everyone.

Frontend Development

Creating modern, responsive web applications with intuitive user interfaces using vibe coding techniques.

For more details about my background and experience, visit my LinkedIn profile