Deep expertise in transformer architectures, attention mechanisms, and distributed training strategies for models ranging from BERT to GPT-4 scale systems.
Designed and deployed enterprise-scale GenAI systems serving millions of requests daily with sub-second latency requirements.
Pioneered retrieval-augmented generation systems combining LLMs with vector search for domain-specific applications.
Multi-Modal LLM Platform
Led development of unified platform supporting text, image, and code generation at scale.
Enterprise RAG System
Architected retrieval system processing 100M+ documents with 99.9% uptime SLA.
Custom LLM Training Framework
Built distributed training system reducing costs by 60% while improving model performance.
NLP Pipeline Automation
Pioneered automated MLOps pipelines for continuous model improvement and deployment.
Load Balancer
Rate Limiting
Auth & Security
Model Router
Context Window Mgmt
Batch Optimization
GPU Clusters
Model Serving
Response Streaming
Published papers on efficient LLM inference, few-shot learning, and production deployment strategies in top-tier conferences.
Maintained critical GenAI libraries with 10K+ GitHub stars, contributing to democratization of AI technology.
Patents pending for novel approaches to LLM caching, dynamic batching, and real-time model adaptation.