Blog

Writing about software development, system design, AI/ML, and the latest tech trends.

Building Production-Ready RAG Systems: A Practical Guide

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A comprehensive guide to building robust Retrieval-Augmented Generation (RAG) systems. Covers chunking strategies, hybrid search, embedding models, and production pitfalls.

Deploying ML Models: A production Engineering Perspective

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A guide to transitioning machine learning models from Jupyter notebooks to scalable production services using FastAPI, Docker, and Kubernetes.

Fine-Tuning LLMs: Strategies for Domain Adaptation

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A technical overview of fine-tuning methodology, focusing on Parameter-Efficient Fine-Tuning (PEFT), LoRA, and dataset preparation strategies.

Autonomous AI Agents: Architectures and Implications

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An analysis of current autonomous agent frameworks, exploring planning capabilities, tool use, and the shift from chat interfaces to goal-directed behavior.

Local LLMs in 2025: Infrastructure and Performance

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A comprehensive guide to running Large Language Models locally. We analyze hardware requirements, quantization techniques, and inference engines.

Introducing Logly: A High-Performance Logging Library for Zig

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A technical overview of Logly v0.1.0, a thread-safe, modular logging library for the Zig ecosystem focusing on performance and developer ergonomics.

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