Viewing profile — chunktort

Hi Jeff, Streaming millions of geological data points to the browser while keeping it interactive is a real performance architecture problem — the kind where how you structure your…

Hi Oscilar team, Building reliable AI decisioning for fraud and compliance is a different challenge from most LLM work — the output needs to be auditable and the false-positive cos…

Hi Littlebird team, Persistent memory and context-aware agents are the hard part of personal AI — retrieval has to be fast enough to feel invisible and selective enough not to be n…

Hi Mobasi team, Autonomous AI agents for forensics is a hard problem — managing tool orchestration across 150+ forensic tools while hitting CJIS compliance requirements is exactly …

Hi Hearo team, Turning Reddit noise into structured product signals is exactly the kind of pipeline problem where RAG architecture matters — naive semantic search on raw posts miss…

Python/FastAPI agent work is my core stack: I've built a production multi-agent orchestration layer (LangGraph ContentPipeline, 33 tests), a YAML-driven AI Workflow API with typed …

I've designed and shipped production autonomous agent systems across voice and text channels: TechNova Voice Bot (FastAPI + WebSocket + Deepgram STT/TTS + Claude, real-time VAD pip…

The "generative AI + deterministic code" framing is exactly the pattern I've been productizing: I built a YAML-driven AI Workflow API (FastAPI + ARQ + Claude + SSE streaming, 148 t…

Sending this to jobs@drswarm.com per instructions, but flagging here too. This is an exact stack match: I've shipped Django/Python + Celery/Redis + Postgres + LLM API pipelines in …

Hi — this stack is my daily driver. I built Jorge, a live FastAPI + Redis + Claude AI real estate qualification bot (1,753 passing tests, deployed on Render) that handles inbound S…

Built this after hitting real latency issues in production. LangChain added 250ms+ overhead before the LLM was even called — routing, validation, and middleware stacked up fast. Th…

I built AgentForge, a minimal multi-LLM orchestrator. Total size: ~15KB of Python code. Why? LangChain added 250ms overhead per request. I needed something simpler. Performance vs …