Samarth is an LLM engineer with a product engineering background. He works best where AI behavior, software quality, and product judgment all matter.
His current LLM engineering work covers RAG, AI agents, function calling, prompt engineering, QLoRA fine-tuning, OpenAI API, Claude-style APIs, Hugging Face, Ollama, LangChain, LlamaIndex, model selection, evals, and multimodal AI. He has also worked through a range of applied AI patterns spanning multimodal applications, document and content workflows, performance optimization, and multi-agent systems.
Before moving deeper into LLM work, he built and shipped product software across React, Next.js, TypeScript, React Native, backend integrations, APIs, auth, data models, and deployment workflows. That product background matters because most AI features fail at the product layer, not only the model layer.
Across SaaS, healthcare, education, AI, Web3, and consumer products, he has repeatedly been the engineer turning ambiguous ideas into clear product surfaces and stable implementation. He is especially useful on teams that need an LLM engineer who can also ship the interface, workflows, and production details around the model.