Tarun Naga Sai K.

Most AI projects die in the gap between the demo and production. The prototype looks great in a notebook, then falls apart the moment real users, real data, and real costs show up. I build the part that survives. I take AI ideas from a rough concept all the way to something you can put in front of paying users. First a working MVP to prove the value quickly, then a hardened, production grade deployment that stays accurate, stays online, and doesn't burn money on idle servers. Here's what that looks like in practice. A client needed scripture translated into several languages without distorting a single word. I designed and shipped an end to end pipeline that translated over 100,000 passages with a 0% error rate, including a custom quality guardrail that automatically caught anything that drifted off course. It runs on a GPU that spins up, does the work, and shuts itself down, so there's zero wasted spend. What I can do for you: - Turn an AI idea into a working MVP fast, so you can validate it with real users before investing more. - Build RAG and chat systems that answer from your own documents and data, not generic internet answers. - Ship production LLM pipelines that process large volumes of data reliably, with quality checks built in so bad output never reaches your users. - Automate the repetitive work in your business by connecting AI to your existing tools, so tasks that eat hours every week run on their own. - Build AI agents that take action, not just answer questions: agents that can search, call your APIs, make decisions, and complete multi step workflows end to end. - Fine tune models on your domain so they speak your business's language instead of sounding generic. - Stand up cost efficient GPU inference, so you pay for results, not idle servers. - Deliver the full product around the AI: the API, the web app, the mobile app. One engineer instead of a whole team. How I work: I start from the outcome you actually need, not the buzzword. I build a small, honest MVP first so you see real results early. Then I take it to production with the reliability, quality checks, and cost controls that separate a demo from a real product. If you have an AI idea and you're not sure it can survive contact with real users, that's exactly the problem I solve. Send me a message and tell me what you're trying to build.