Systems, tools, and experiments from the frontier of AI engineering.
An agentic AI system built on the Agno framework that analyzes millions of historical support tickets and recommends resolutions in real time.
60% reduction in resolution time, 40% drop in support costs
A reusable framework for deploying config-driven AI agents via REST API, with support for memory, multi knowledge base retrieval, tool use, and enterprise integrations.
Adopted across multiple internal products and teams
A low-code RAG framework that lets teams deploy retrieval augmented apps quickly, adopted organization wide by engineering and product.
Adopted by all internal teams and product managers
An LLM powered RAG system that queries a corpus of 300M job descriptions and returns answers in under 10 seconds at production scale.
Sub 10 second latency at 300M document scale
A RoBERTa based language model pre-trained from scratch on 60M job descriptions to lift downstream NLP performance in the labor market domain.
5%+ gain on downstream NLP tasks