<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Muhammad Fiaz&apos;s Blog</title><description>Articles about software development, AI/ML, open source, and technology by Muhammad Fiaz</description><link>https://muhammad-fiaz.github.io/</link><language>en-us</language><lastBuildDate>Wed, 04 Mar 2026 14:45:02 GMT</lastBuildDate><managingEditor>contact@muhammadfiaz.com (Muhammad Fiaz)</managingEditor><webMaster>contact@muhammadfiaz.com (Muhammad Fiaz)</webMaster><image><url>https://avatars.githubusercontent.com/u/75434191?v=4</url><title>Muhammad Fiaz&apos;s Blog</title><link>https://muhammad-fiaz.github.io</link></image><item><title>Building Production-Ready RAG Systems: A Practical Guide</title><link>https://muhammad-fiaz.github.io/blog/building-rag-systems/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/building-rag-systems/</guid><description>A comprehensive guide to building robust Retrieval-Augmented Generation (RAG) systems. Covers chunking strategies, hybrid search, embedding models, and production pitfalls.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>LLM</category><category>RAG</category><category>embeddings</category><category>vector-database</category><author>Muhammad Fiaz</author></item><item><title>Deploying ML Models: A production Engineering Perspective</title><link>https://muhammad-fiaz.github.io/blog/deploying-ml-models/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/deploying-ml-models/</guid><description>A guide to transitioning machine learning models from Jupyter notebooks to scalable production services using FastAPI, Docker, and Kubernetes.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>MLOps</category><category>deployment</category><category>docker</category><category>kubernetes</category><category>fastapi</category><author>Muhammad Fiaz</author></item><item><title>Fine-Tuning LLMs: Strategies for Domain Adaptation</title><link>https://muhammad-fiaz.github.io/blog/fine-tuning-llms/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/fine-tuning-llms/</guid><description>A technical overview of fine-tuning methodology, focusing on Parameter-Efficient Fine-Tuning (PEFT), LoRA, and dataset preparation strategies.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>LLM</category><category>fine-tuning</category><category>LoRA</category><category>PEFT</category><category>AI</category><author>Muhammad Fiaz</author></item><item><title>Autonomous AI Agents: Architectures and Implications</title><link>https://muhammad-fiaz.github.io/blog/future-of-ai-agents/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/future-of-ai-agents/</guid><description>An analysis of current autonomous agent frameworks, exploring planning capabilities, tool use, and the shift from chat interfaces to goal-directed behavior.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>agents</category><category>autonomous-systems</category><category>LLM</category><author>Muhammad Fiaz</author></item><item><title>Introducing Logly: A High-Performance Logging Library for Zig</title><link>https://muhammad-fiaz.github.io/blog/introducing-logly-zig/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/introducing-logly-zig/</guid><description>A technical overview of Logly v0.1.0, a thread-safe, modular logging library for the Zig ecosystem focusing on performance and developer ergonomics.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>zig</category><category>open-source</category><category>logging</category><category>developer-tools</category><category>performance</category><author>Muhammad Fiaz</author></item><item><title>Local LLMs in 2025: Infrastructure and Performance</title><link>https://muhammad-fiaz.github.io/blog/local-llms-guide/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/local-llms-guide/</guid><description>A comprehensive guide to running Large Language Models locally. We analyze hardware requirements, quantization techniques, and inference engines.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>LLM</category><category>local-ai</category><category>privacy</category><category>hardware</category><author>Muhammad Fiaz</author></item><item><title>Memory Safety: Zig&apos;s Approach vs Rust&apos;s Borrow Checker</title><link>https://muhammad-fiaz.github.io/blog/memory-safety-without-borrow-checker/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/memory-safety-without-borrow-checker/</guid><description>A comparative analysis of memory safety strategies. We contrast Rust&apos;s compile-time formal verification with Zig&apos;s approach of explicit memory management and runtime defenses.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>zig</category><category>rust</category><category>memory-safety</category><category>systems-programming</category><author>Muhammad Fiaz</author></item><item><title>Advanced Prompt Engineering: Techniques for Deterministic Outputs</title><link>https://muhammad-fiaz.github.io/blog/prompt-engineering/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/prompt-engineering/</guid><description>A technical guide to Prompt Engineering strategies, including Chain-of-Thought, Few-Shot prompting, and structural constraints for reliable LLM integration.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>LLM</category><category>prompt-engineering</category><category>coding</category><author>Muhammad Fiaz</author></item><item><title>High-Performance Web Applications with Rust and WebAssembly</title><link>https://muhammad-fiaz.github.io/blog/rust-wasm-performance/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/rust-wasm-performance/</guid><description>Leveraging Rust and WebAssembly (Wasm) to offload compute-intensive tasks from the JavaScript main thread. Includes benchmarks and implementation patterns.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>rust</category><category>webassembly</category><category>performance</category><category>react</category><category>web-dev</category><author>Muhammad Fiaz</author></item><item><title>Welcome to My Technical Blog</title><link>https://muhammad-fiaz.github.io/blog/welcome/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/welcome/</guid><description>An introduction to the themes of this blog: AI Engineering, Systems Programming, and High-Performance Computing.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>introduction</category><category>personal</category><category>tech</category><author>Muhammad Fiaz</author></item><item><title>From Python to Zig: A System&apos;s Perspective</title><link>https://muhammad-fiaz.github.io/blog/why-i-switched-to-zig/</link><guid isPermaLink="true">https://muhammad-fiaz.github.io/blog/why-i-switched-to-zig/</guid><description>An analysis of the transition from efficient scripting (Python) to high-performance systems programming (Zig). Includes performance benchmarks and a comparison with Rust.</description><pubDate>Mon, 29 Dec 2025 00:00:00 GMT</pubDate><category>zig</category><category>python</category><category>systems-programming</category><category>performance</category><category>rust</category><author>Muhammad Fiaz</author></item></channel></rss>