Vinay K.

Most AI projects stall between proof-of-concept and production. The demo works. The real system breaks under load, lacks memory, or costs 10x more to run than budgeted. I architect AI systems built for production from day one, not retrofitted after the demo breaks. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱: LLM-powered applications using OpenAI, Claude, Gemini, and Llama RAG pipelines with Pinecone, FAISS, and ChromaDB for knowledge retrieval AI agents and multi-step workflow automation systems using LangChain and CrewAI Scalable SaaS backends with Python (FastAPI / Django) and Node.js Full stack platforms on Next.js / MERN with TypeScript Voice AI and STT/TTS systems using Whisper and Twilio Multi-tenant SaaS architectures on AWS with Docker and CI/CD pipelines Production MVPs from concept to deployment in 4–8 weeks 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘀𝗵𝗶𝗽𝗽𝗲𝗱: Healthcare AI voice workflow platform - real-time transcription, appointment automation, patient engagement (React · FastAPI · OpenAI · Whisper · Twilio · Pinecone) FinTech intelligence system - OCR document processing, AI risk evaluation, transaction analysis (Vue · FastAPI · RAG Pipelines · Semantic Search) Logistics dispatch automation - route optimization, real-time shipment tracking, WebSocket ops (MERN · Next.js · AWS) E-commerce AI personalization engine - conversational shopping, semantic product discovery, retention automation (Next.js · LangChain · Pinecone · TypeScript) Cybersecurity AI monitoring system - anomaly detection, log intelligence, real-time threat alerts (React · FastAPI · AWS · Real-time Pipelines) How I work: I architect before I code no spaghetti systems or retrofitted AI layers Clear weekly milestones, async-first communication, documented delivery at every stage AI-accelerated engineering with GitHub Copilot, Cursor, and Claude Code for faster iteration I flag risks early, not after scope creep has already cost you money If you are moving from MVP to production, integrating LLMs into an existing system, or building an AI-native SaaS from scratch, my portfolio and case studies are on my profile. Let's scope it.