Practical insights from our work in software development, system architecture, and AI. Explore the challenges we face, the solutions we build, and the lessons we learn along the way.
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.
By Hassan Rival
Read articleEliminating indicator stutter and layout thrashing across dynamic routes. A deep dive into isomorphic layout synchronization, click debounce guards, and GPU-composited spring transitions.
By Studio Engineering
Read articleA 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.
By Hassan Rival
Read articleQuantizing 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.
By AI & ML Systems Group
Read articleFrom problem definition and empirical benchmarking to live demonstration protocols: our proven methodology for defending university capstones before rigorous academic panels.
By Hassan Rival
Read articleWhether you need a web application, an AI-powered solution, or help improving an existing system, we’d be happy to discuss your requirements.