Jyoti A.

𝗔𝗜 𝗦𝗮𝗮𝗦 | 𝗠𝗩𝗣 𝗦𝘁𝗮𝗯𝗶𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 | 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗥𝗔𝗚 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 | 𝗡𝗲𝘅𝘁.𝗷𝘀, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗔𝗪𝗦 | 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗳𝗼𝗿 𝗔𝗜-𝗕𝘂𝗶𝗹𝘁 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 I help startups and businesses turn rapidly built AI products into scalable, production-ready systems. Many AI-powered MVPs work well initially - but later run into issues like unstable architecture, deployment failures, scaling bottlenecks, broken integrations, security concerns, or difficult-to-maintain codebases. 𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗵𝗲𝗹𝗽. My focus is not just building AI applications, but stabilizing, optimizing, and scaling them for real-world usage. 𝗪𝗶𝘁𝗵 𝟭𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝘃𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲, 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝘁𝗲𝗮𝗺𝘀 𝘁𝗼: • Fix unstable or messy codebases - including AI-generated or rapidly built MVP code • Scale AI-powered SaaS platforms for real users and production workloads • Refactor rapidly built MVPs for maintainability, performance, and future growth • Add new features without disrupting existing product stability • Improve performance, reliability, and deployment consistency • Build production-ready AI architectures that can evolve with the business • Integrate LLMs, RAG pipelines, AI automation, and new system capabilities • Provide ongoing technical ownership, support, and post-launch product evolution 𝗜’𝘃𝗲 𝗵𝗲𝗹𝗽𝗲𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲: • AI research & analytics platforms • Voice AI & IVR systems • AI-powered SaaS products • Workflow automation platforms • Retrieval-Augmented Generation (RAG) systems • Intelligent chatbot & AI agent ecosystems 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • AI Agents & Automation • RAG Systems & Knowledge AI • OpenAI / Claude / LLM Integration • AI SaaS Architecture • Production Debugging & Stabilization • API & Backend Engineering • Deployment & Infrastructure Optimization • Long-Term Product Maintenance 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: • AI/ML: OpenAI, Claude, LangChain, RAG, NLP • Backend: Python, FastAPI, Node.js • Frontend: React, Next.js • Cloud & Data: AWS, PostgreSQL, Vector Databases 𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗧𝘆𝗽𝗶𝗰𝗮𝗹𝗹𝘆 𝗛𝗶𝗿𝗲 𝗠𝗲 𝗙𝗼𝗿: • “Our MVP works but needs cleanup” • “We built this quickly using AI tools, but now need proper engineering” • “We need help scaling our AI app” • “We need to add new features without breaking what already works” • “The previous developer left a messy codebase” • “Our AI workflows, integrations, or deployments are unstable” • “We need production-grade engineering support” • “We need ongoing technical maintenance and product evolution” 𝗜 𝗰𝗼𝗺𝗯𝗶𝗻𝗲 𝗔𝗜 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝘄𝗶𝘁𝗵 𝗿𝗲𝗮𝗹 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗮𝗿𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗹𝗼𝗻𝗴 𝗮𝗳𝘁𝗲𝗿 𝗹𝗮𝘂𝗻𝗰𝗵. If you need help fixing, scaling, optimizing, or maintaining an AI-powered application - I’d be happy to discuss how to turn it into 𝗮 𝘀𝘁𝗮𝗯𝗹𝗲, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝘁.