Why Models Fail in Production: Lessons from 10,000 Satellite Rooftops
How high-resolution satellite imagery breaks standard object detectors, and why ensemble voting with IoU clustering beats hyperparameter tuning every time.
In-depth writing on Computer Vision, production RAG architectures, edge systems, and software reliability.
How high-resolution satellite imagery breaks standard object detectors, and why ensemble voting with IoU clustering beats hyperparameter tuning every time.
Moving beyond naive top-k vector similarity: combining dense vector retrieval with cross-encoder re-ranking to cut repetitive course support queries by 30%.
Architecting in-store retail dwell time and foot-traffic heat maps on local edge hardware without a single raw video frame leaving the premises.
Before deep learning and LLMs, I programmed PLCs and SCADA systems in heavy industrial plants. Here is what industrial reliability teaches modern software engineers.
Why we wrote our LLM reverse-proxy in Go with Redis token-bucket rate limiting to withstand provider outages and spike traffic.