Enterprise AI & RAG Architecture
Designing and deploying production-grade Large Language Model systems, hybrid retrieval engines, and generative pipelines engineered for low latency, data privacy, and deterministic execution.
- Enterprise Retrieval-Augmented Generation (RAG) with hybrid dense + BM25 reranking
- Autonomous agent workflows, structured tool-calling & stateful orchestration
- Generative vision: latent diffusion, virtual try-on (ViTON) & visual synthesis
- Audio & speech signal processing (NISQA perceptual quality benchmarking)
- Computer vision: multispectral environmental sensing & medical image segmentation
- MLOps evaluation frameworks, latency profiling & quantitative inference optimization