MirahLabs Engineering Blog
Technical insights, architectural deep-dives, and system designs authored by our product engineers and AI research leads.
MLOps: Building Reproducible ML Pipelines with MLflow and DVC
Machine learning without MLOps produces science experiments, not production systems. Learn how MLflow tracks experiments and DVC versions datasets to build reproducible, deployable ML pipelines.
Building a HIPAA-Compliant Medical Transcription Portal with Flask and Whisper
Build a production-ready AI writing assistant that generates, refines, and SEO-optimizes content. This end-to-end guide covers Flask backend, streaming responses, and a clean JavaScript frontend.
Self-Attention vs. State Space Models (Mamba): The Battle for Sequence Modeling
Transformers struggle with O(N^2) context scaling. Discover how State Space Models (SSMs) like Mamba offer linear O(N) scaling for long context windows.
PostgreSQL Full-Text Search: FTS vs pgvector vs Elasticsearch
Full-text search can be implemented several ways in a PostgreSQL-based stack. Compare native FTS, vector semantic search with pgvector, and Elasticsearch for your search requirements.
Designing Notification Systems at Scale: Push, Email, SMS, and In-App
Notification systems are deceptively complex at scale. Learn how to design a unified notification engine that handles push, email, SMS, and in-app notifications with preference management, rate limiting, and retry logic.
Hybrid Cloud in Banking: Connecting Core Trade Systems via AWS Direct Connect
Connect your on-premises datacenter to AWS securely. Compare the cost, latency, throughput, and reliability of AWS Site-to-Site VPN and Direct Connect.