MirahLabs Engineering Blog
Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.
Understanding LLM Hallucinations: Causes, Detection, and Prevention
LLM hallucinations—confidently wrong answers—are the most critical reliability challenge in production AI. Learn why they happen, how to detect them, and architectural strategies to minimize them.
Event Sourcing in Financial Ledgers: Building Immutable Trade Audit Trails
CQRS (Command Query Responsibility Segregation) and Event Sourcing are powerful patterns for systems that need separate read and write optimization. Learn how they work together.
Deploying ML Models to Production: FastAPI + Docker + Kubernetes
Getting an ML model from Jupyter notebook to production requires API serving, containerization, and orchestration. This end-to-end guide covers model serving with FastAPI, containerization, and Kubernetes deployment.
Metaprogramming in Python: Metaclasses, Class Decorators, and Code Generation
Write code that writes code. Learn how to use class decorators, __new__ and __init__ overrides, and custom metaclasses to customize class creation dynamically.
Healthcare Data Lakes: Querying Patient Records Securely with S3 and Athena
Querying raw JSON or CSV data in S3 data lakes is slow and expensive. Optimize your lake using hive-partitioning, Apache Parquet columnar storage, and AWS Athena.
Writing Clean Code: SOLID Principles with Python Examples
SOLID principles are the foundation of maintainable object-oriented code. This guide explains each principle with practical Python examples and shows how they prevent the most common design problems.