In Progress
Architectural Deep DiveOptimizing RAG Pipelines for Production
A comprehensive guide on balancing latency, cost, and retrieval accuracy in large-scale RAG systems.
Coming Soon
I'm currently documenting my engineering journey—focusing on LLM optimization, production-grade RAG pipelines, and MLOps best practices.
A comprehensive guide on balancing latency, cost, and retrieval accuracy in large-scale RAG systems.
Why bigger isn't always better. How I fine-tuned 7B models to outperform GPT-4 on specific domain tasks.
Closing the gap between research and production with automated pipelines, Docker, and AWS.
Implementing robust monitoring and grounding checks for healthcare and legal AI assistants.
I'm always open to discussing technical challenges and sharing my findings. If there's something specific you'd like to see covered, let's connect.
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