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$ whoami → Aakash Dhakshnamoorthy
AI/ML Engineer · Speaker · Mentor. I take machine-learning systems from notebook to production — and share every lesson on stage and in writing.
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Systems I've designed, trained, and shipped to production.
Retrieval-augmented generation system for the NetSuite ERP: document ingestion, vector search, and grounded summarization/Q&A over enterprise documents, orchestrated with LangChain and LangGraph.
Real-time voice agents for a law-firm product built entirely on open-source VAD, STT, and TTS models running locally on GPU machines — hosted on Google Cloud Run, handling 20–50 concurrent voice streams per GPU.
Fine-tuned LLMs (PEFT) that convert user stories into complete test cases. Deployed on local models (LLaMA, Mistral, DeepSeek-R1) instead of the OpenAI API — saving $1,400/month while keeping data in-house.
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Notes from the trenches of production ML.
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Where I've been speaking recently.
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