class OmniFront:
"""AI/ML Engineer building intelligent systems."""
role = "AI/ML Engineer"
focus = ["LLM Systems", "RAG Pipelines", "Voice AI", "Agent Architectures"]
languages = ["Python", "TypeScript", "SQL"]
daily = ["PyTorch", "LangChain", "FastAPI", "Docker"]
def motto(self):
return "常に学び、常に作る — Always learning, always building."|
Real-time medical voice assistant powered by LangChain + Twilio + OpenAI. Handles patient scheduling, FAQ, and triage via natural conversation.
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Building retrieval-augmented generation pipelines from zero — embeddings, vector stores, chunking strategies, and evaluation.
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Autonomous ad operations agent using Vertex AI + Gmail API + Google Ad Manager. Automates campaign setup and trafficking workflows.
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Comprehensive tutorial covering chains, agents, RAG, tool use, memory, and advanced patterns with hands-on notebooks.
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