I work at the nexus of applied AI systems and machine learning theory. Among my interests are:
1) Transformers, embeddings, RAG, and evaluation of large language models (LLMs)
2) Semantic search and representation learning in natural language processing
3) Deep Learning: time-series, multimodal models, and attention
4) Foundations of mathematics: probability, linear algebra, and optimization
5) Applied AI: practical machine learning pipelines in finance and agriculture
Objective: Create reliable, research-based AI systems that have practical applications.