Technical write-ups, architecture teardowns, and engineering notes directly from our studio. We write about what we build: distributed systems, production GenAI pipelines, and high-throughput web applications.
Why naive cosine similarity on raw chunk embeddings fails in production. How we architected hybrid BM25 + dense vector reranking with Cross-Encoders, metadata pre-filtering, and automated hallucination guardrails in Supabase pgvector.
Eliminating indicator stutter and layout thrashing across dynamic routes. A deep dive into isomorphic layout synchronization, click debounce guards, and GPU-composited spring transitions.
A defense-in-depth approach to tenant data isolation. Why pushing authorization checks down to the PostgreSQL query planner guarantees data safety even if edge route handlers are compromised.
Quantizing 3B to 7B parameter models with ONNX Runtime and TensorRT to run sub-40ms local inference on mobile runtimes without cloud latency or prohibitive compute costs.
From problem definition and empirical benchmarking to live demonstration protocols: our proven methodology for defending university capstones before rigorous academic panels.
Whether you are looking to benchmark a custom RAG pipeline, rebuild a slow web application, or architect an applied AI system, our principal engineers are ready to collaborate.