Umair I.

I’m an AI Engineer specializing in building production-ready AI systems, intelligent agents, machine learning solutions, and full-stack AI applications that solve real business problems. I work across the complete AI development lifecycle, from model development and LLM integration to backend engineering, AI agents, RAG systems, computer vision, automation, and production deployment. My core stack includes Python, PyTorch, FastAPI, Node.js, React, Next.js, LangChain, LlamaIndex, vector databases, and cloud platforms such as AWS and GCP. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 • AI Agents & Agentic Workflows, autonomous AI agents, AI assistants, intent routing, tool calling, MCP servers, memory, and multi-turn conversations • LLM & RAG Applications, custom knowledge bases, document RAG, website RAG, multimodal RAG, semantic search, vector databases, and enterprise AI assistants • Machine Learning & Deep Learning, model training, fine-tuning, transfer learning, computer vision, classification, object detection, and model optimization • Generative AI: diffusion models, ControlNet, image generation, image-to-image generation, prompt engineering, and AI-powered creative workflows • Computer Vision, YOLO, YOLOv8, object detection, object tracking, DeepSORT, segmentation, OCR, ONNX, and real-time video analytics • Multimodal AI, video understanding, image understanding, audio processing, speech-to-text, Whisper, video captioning, and multimodal summarization • AI SaaS & Full-Stack Applications, AI-powered dashboards, SaaS platforms, custom web applications, APIs, and intelligent business tools using Node.js, React, Next.js, Python, and FastAPI • Intelligent Document Processing, OCR, invoice and receipt extraction, layout analysis, table extraction, field-level understanding, validation, vendor recognition, and duplicate detection 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 I’ve worked on AI solutions across Healthcare & HealthTech, Real Estate, Automotive, Sports Analytics, E-commerce, Document Processing, SaaS, and business automation. 𝐒𝐨𝐦𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐈’𝐯𝐞 𝐛𝐮𝐢𝐥𝐭 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: • AI Receptionist for behavioral-health workflows with agentic AI, MCP, intent routing, persistent memory, appointment scheduling, and conversational AI • Medical Notes Assistant that converts doctor-patient conversations into structured SOAP notes using Whisper and real-time audio processing • Multi-Intent Automobile Chatbot using RAG, Gemini, Vertex AI, query routing, a 100GB+ vehicle knowledge base, web search, and contextual conversations • Real Estate RAG Chatbot capable of answering complex property questions using contracts, PDFs, Excel data, listings, and real-time web information • Multimodal AI system processing video, audio, and images to generate structured summaries and step-by-step insights • Computer Vision systems using YOLO, DeepSORT, and object tracking for sports analytics, player statistics, heatmaps, possession analysis, and event detection • Intelligent Document Processing systems for invoices and receipts with OCR, table extraction, validation, vendor recognition, and duplicate detection • AI-powered image generation and virtual staging systems using Diffusion Models and ControlNet I focus on building AI solutions that are not just impressive demos, but reliable, scalable, and production-ready systems. Whether you need an AI agent, RAG chatbot, machine learning model, computer vision system, AI SaaS application, or a complete AI-powered product, I can help turn your idea into a working solution. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 Python | PyTorch | TensorFlow | FastAPI | Node.js | React | Next.js | LangChain | LlamaIndex | RAG | LLMs | AI Agents | Agentic AI | Computer Vision | YOLO | DeepSORT | Whisper | Generative AI | Vector Databases | PostgreSQL | AWS | GCP | Docker | CI/CD