Samya N.

I help companies design, build, and deploy production-grade AI/ML systems — from Generative AI applications and RAG pipelines to MLOps platforms and GPU-based infrastructure. With 11+ years in software development and 5+ years in AI/ML, I work across the full lifecycle: solution design, model development, distributed training, deployment, and optimization. My experience includes OpenAI-based applications, LangChain/LangGraph workflows, agentic AI, vector databases, AWS/GCP/Azure cloud platforms, MLOps pipelines, and large-scale GPU environments. I can help you with: Generative AI applications using OpenAI, LangChain, LangGraph, and agents RAG pipelines with embeddings, vector databases, semantic search, and evaluation MLOps and ML pipelines for training, deployment, monitoring, and scaling GPU infrastructure, NCCL validation, distributed training, and performance optimization Python-based AI backends with FastAPI, AWS, GCP, Vertex AI, SageMaker, and Docker/Kubernetes Why clients hire me: Strong mix of hands-on engineering and architecture Ability to work from prototype to production Experience with both AI application development and underlying infrastructure Clear communication and fast execution If you need a freelancer who can build reliable AI systems — not just demos — I’d be glad to help. Better shorter version If you want a more compact version: I help businesses build production-grade AI/ML systems, including Generative AI apps, RAG pipelines, MLOps workflows, and GPU-based infrastructure. I have 11+ years of software development experience and 5+ years in AI/ML, with hands-on expertise in OpenAI, LangChain, LangGraph, Python, AWS, GCP, Vertex AI, SageMaker, Docker, Kubernetes, and distributed GPU systems. My work includes: GenAI apps and AI agents RAG and semantic search systems MLOps pipelines and model deployment GPU cluster setup, NCCL testing, and PyTorch distributed training Cloud-native AI systems on AWS, GCP, and Azure I focus on building scalable, production-ready solutions that solve real business problems.