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Technical Posts

Practical lessons from building ML systems in production — RAG, agents, MLOps, and AI products.

RAGLangChainPythonProduction

How I Built a Production RAG System with Multi-Query Expansion and Re-Ranking

Most RAG tutorials show the happy path. Here's what I learned building a real system at Emulxion.ai — multi-query expansion, query decomposition, RAG fusion, and intelligent re-ranking that actually improved retrieval accuracy.

May 10, 2025·8 min read
LangGraphPythonAI AgentsMLOps

Building Human-in-the-Loop Workflows with LangGraph

Fully autonomous AI pipelines sound great until they make an expensive mistake at 2am. Here's how I built WREXT — a content automation platform with approval checkpoints using LangGraph's interrupt mechanism.

June 1, 2025·6 min read
Computer VisionYOLOPyTorchMedical AI

90%+ Accuracy Acne Detection with YOLO: What Actually Worked

Training a medical image segmentation model sounds daunting. Here's the practical breakdown of how I built the acne detection system at Emulxion.ai — data, augmentation strategy, YOLO config, and the mistakes I made.

April 15, 2025·7 min read

S.amiullah

Building AI systems that go to production.

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