Startups We Helped Build and Launch

Required a resilient pipeline to ingest, parse, and analyze real-time market signals across 6,300+ listed stocks simultaneously.

DBERT architected a high-throughput streaming message-bus using Redis streams, Kafka, and pgvector database indices to store semantic signal vectors.

Struggled to train and evaluate computer vision models for automated robotic joint alignment under varying factory floor conditions.

DBERT configured localized GPU nodes on-premises, optimized training datasets pipelines, and trained custom PyTorch weights models.

Needed a scalable, secure, and offline-first internal onboarding platform to train and review junior developer squads on production code.

DBERT configured containerized development sandboxes and deployed DBERT_AI local weights to automate code audits and progress checks.

Aims to distribute lightweight multi-agent educational simulations to local schools operating with limited internet bandwidth.

DBERT co-developed open-source local orchestration modules, allowing schools to run multi-agent scripts on offline PC systems.