Deploy GPU & AI Clusters Worldwide with Zero Cold-Start Overhead
Architecting high-throughput vector embedding spaces, real-time RAG inference pipelines, continuous model drift monitoring, and industrial MLOps at scale.
A rigorous mathematical and operational benchmarking of approximate nearest neighbor (ANN) search algorithms under sub-millisecond production latency constraints.
Tanisha PanwarPractical architectural patterns for low-latency retrieval-augmented generation: semantic caching, hybrid BM25 + dense search, and cross-encoder re-ranking.
Tanisha PanwarImplementing automated monitoring for concept drift, covariate shifts, and adversarial anomalies in mission-critical machine learning systems.
Tanisha PanwarArchitecting dual-storage feature stores using Redis and Apache Iceberg to eliminate training-serving skew in real-time fraud and recommendation engines.
Tanisha PanwarHow differentiable neural architecture search (DARTS) and reinforcement learning discover ultra-efficient vision and language models.
Tanisha PanwarReal-Time Distributed Tracing Across Heterogeneous Multi-Cloud Fleets
