Deploying ML Models: A production Engineering Perspective
MLOpsdeploymentdocker
+2
A guide to transitioning machine learning models from Jupyter notebooks to scalable production services using FastAPI, Docker, and Kubernetes.
Muhammad Fiaz
Full-stack developer, AI/ML Engineer, and open-source maintainer building developer-first tools, software, and AI applications.
11 articles
• 20 min total read
Building Production-Ready RAG Systems: A Practical Guide
AILLMRAG
+2
A comprehensive guide to building robust Retrieval-Augmented Generation (RAG) systems. Covers chunking strategies, hybrid search, embedding models, and production pitfalls.
Autonomous AI Agents: Architectures and Implications
AIagentsautonomous-systems
+1
An analysis of current autonomous agent frameworks, exploring planning capabilities, tool use, and the shift from chat interfaces to goal-directed behavior.
Introducing Logly: A High-Performance Logging Library for Zig
zigopen-sourcelogging
+2
A technical overview of Logly v0.1.0, a thread-safe, modular logging library for the Zig ecosystem focusing on performance and developer ergonomics.
Fine-Tuning LLMs: Strategies for Domain Adaptation
LLMfine-tuningLoRA
+2
A technical overview of fine-tuning methodology, focusing on Parameter-Efficient Fine-Tuning (PEFT), LoRA, and dataset preparation strategies.
Local LLMs in 2025: Infrastructure and Performance
AILLMlocal-ai
+2
A comprehensive guide to running Large Language Models locally. We analyze hardware requirements, quantization techniques, and inference engines.
Memory Safety: Zig's Approach vs Rust's Borrow Checker
zigrustmemory-safety
+1
A comparative analysis of memory safety strategies. We contrast Rust's compile-time formal verification with Zig's approach of explicit memory management and runtime defenses.
Advanced Prompt Engineering: Techniques for Deterministic Outputs
AILLMprompt-engineering
+1
A technical guide to Prompt Engineering strategies, including Chain-of-Thought, Few-Shot prompting, and structural constraints for reliable LLM integration.
High-Performance Web Applications with Rust and WebAssembly
rustwebassemblyperformance
+2
Leveraging Rust and WebAssembly (Wasm) to offload compute-intensive tasks from the JavaScript main thread. Includes benchmarks and implementation patterns.
Welcome to My Technical Blog
introductionpersonaltech
An introduction to the themes of this blog: AI Engineering, Systems Programming, and High-Performance Computing.
From Python to Zig: A System's Perspective
zigpythonsystems-programming
+2
An analysis of the transition from efficient scripting (Python) to high-performance systems programming (Zig). Includes performance benchmarks and a comparison with Rust.