Debugging intermittent Chrome connection failures: HTTP/3 QUIC on LiteSpeed
In our algorithmic trading setup, milliseconds are the baseline currency. We run a hybrid AI engine that streams sub-second inference updates—predicting v…
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Point-in-time Postgres recovery on Kubernetes: CloudNativePG backups to object storage
It was 14:18 UTC on a Thursday when our main Slack alert channel lit up. A rogue autonomous agent run, deployment code-named "Project Oracle", had entered…
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Redis as an agent’s working memory and rate limiter
Building autonomous, multi-agent execution systems for quantitative trading workflows sounds great until you put them into production.
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Excluding your own traffic from GA4 with an internal-traffic filter
When you build and manage high-traffic analytics systems, your worst enemy isn't raw volume—it is dirty data.
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Running multimodal inference on consumer GPUs: what actually fits
I recently built an automated monitoring agent to parse order-book heatmaps, trading execution logs, and live liquidity charts. The goal was simple: run a…
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Durable agents: pairing LangGraph with Temporal so a crashed run resumes
Building complex LLM agents with LangGraph is incredibly intuitive until you run them in production on workloads that take minutes or hours to complete.
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Quantizing a 70B model to fit 2x RTX 3090: AWQ vs GPTQ in practice
Deploying a 70-billion parameter model like Meta-Llama-3-70B on a local workstation is the holy grail for trading desks and quantitative shops looking to…
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KV cache sizing for multi-GPU vLLM deployments
We run high-frequency, event-driven sentiment analysis pipelines that parse corporate earnings transcripts, SEC filings, and real-time news feeds. Our pip…
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Token cost accounting: instrumenting an LLM app for real budgets
In quantitative trading, tracking execution costs down to the tenth of a basis point is a prerequisite for survival. When I shifted from high-frequency ex…
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Building a RAG pipeline that doesn’t hallucinate citations
Six months ago, I was building an automated equity research assistant designed to parse thousands of pages of earnings transcripts, 10-K filings, and macr…
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