About Me

Hi, This is Muhammad Faiz Raza, an AI/ML Engineer specializing in leveraging Large Language Models (LLMs) to address real-world business needs. I design and build Agentic AI workflows, train ML models for prediction tasks such as forecasting and fraud detection, and work extensively across the data domain. Previously, I’ve worked with consultancy firms and MNCs, always passionate about exploring new sectors. I help solve complex problems from the architectural design level to the UI, creating roadmaps, agile strategies, and executing ideas end-to-end. My full-stack AI capabilities allow me to build and deploy everything from a “Hello World” prototype to sophisticated AI workflows running in the cloud.

What I've built / am building:
• Order Management System using Microsoft Agentic Framework AG2 (formerly known as Autogen) with integrated APIs for automated order operations.
• AI Recruitment Assistant enabling companies to find candidates through natural language conversations, eliminating manual searches.
• Fine-tuned LLaMA 2 for structured YAML generation.
• Data Formatting pipeline powered by LLM with validation checks for standardized outputs.
• Data Analytics tools for visual insights on business data, enabling managers to analyze metrics without combing through raw tables.
• SkyChat AI Assistant for SkyElectric, providing role-based access for internal and external users to query solar system data.

I’m excited to join a team that values analytical thinking and innovation, where I can contribute to solving meaningful problems in AI and data. Always open to connecting and exploring new opportunities that blend technology, scalability, and impact.