About Candidate

        Distinguished Principal AI Engineer with 6+ years of comprehensive hands-on expertise architecting enterprise-scale GenAI platforms, multimodal AI systems, production-ready RAG pipelines using cutting-edge Amazon Bedrock, LangChain, Hugging Face transformers achieving 90%+ domain accuracy, sub-200ms TTFT latency, and 70% faster processing across FinTech, Automotive, and Fortune 500 Enterprise applications.

        Advanced practitioner in Retrieval-Augmented Generation (RAG) architectures with deep mastery of vector databases, semantic search, knowledge graphs implementing production-ready solutions using Pinecone, Weaviate, FAISS, pgvector, Milvus processing millions of documents with enterprise-grade security, SOC 2 compliance, real-time inference capabilities.

        Expert full-stack AI developer building intelligent applications using FastAPI, Django, React TypeScript with serverless architectures, event-driven processing, microservices patterns deploying scalable solutions on AWS EKS/ECS, Kubernetes orchestration supporting high-throughput applications with sub-100ms response times.

        Skilled MLOps automation specialist architecting end-to-end ML pipelines using Docker, Kubernetes, GitOps workflows with CI/CD automation, model versioning, A/B testing frameworks implementing Infrastructure as Code, automated monitoring, performance optimization achieving 99.9% model uptime and seamless deployment cycles.

        Proven multimodal AI expert implementing computer vision, natural language processing, speech recognition systems using PyTorch, TensorFlow, OpenCV with AWS SageMaker, Vertex AI, Azure ML deploying intelligent solutions for predictive maintenance, autonomous systems, conversational AI workflows.

Location