Umair E.

I design and build production-grade AI systems that solve real business and engineering problems from initial architecture and proof-of-concept through development, API integration, optimization, deployment, and ongoing improvement. My work spans Generative AI, Large Language Models, RAG, AI agents, computer vision, machine learning, deep learning, intelligent automation, and production AI engineering. 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐛𝐮𝐢𝐥𝐝: ◈ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 RAG systems, AI assistants, chatbots, semantic search, document intelligence, multimodal AI, knowledge-base systems, prompt engineering, function/tool calling, and LoRA/PEFT fine-tuning. ◈ 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 Autonomous and human-in-the-loop AI agents, LangChain/LangGraph workflows, multi-agent systems, tool calling, MCP integrations, memory, agent evaluation, and reliable multi-step workflows. ◈ 𝐀𝐈 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐧𝟖𝐧 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 n8n automation, API integrations, document processing, CRM/database automation, AI-powered business processes, data extraction, classification, routing, and decision-support systems. ◈ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 YOLO object detection, tracking, segmentation, OCR, pose estimation, activity recognition, image classification, medical imaging, document forensics, real-time video analytics, and edge AI. ◈ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐍𝐋𝐏 Classification, regression, predictive modelling, anomaly detection, forecasting, text classification, embeddings, semantic similarity, NLP pipelines, and custom ML models. ◈ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 FastAPI/Flask APIs, Docker, PostgreSQL, vector databases, cloud deployment, CI/CD, scalable inference, GPU acceleration, ONNX, TensorRT, CUDA, and NVIDIA Jetson. 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞 I focus on more than getting a model to work in a notebook. I build the complete system around the model. ✓ Clean and maintainable architecture ✓ Reliable APIs and third-party integrations ✓ Production-ready deployment ✓ Testing and validation ✓ LLM and agent safeguards ✓ Human approval workflows ✓ Logging, monitoring, and observability ✓ Performance and inference optimization ✓ Scalable backend infrastructure ✓ Clear documentation and communication I have worked on AI systems involving RAG, LLM agents, financial document processing, OCR, computer vision, real-time video analytics, intelligent automation, multimodal AI, document intelligence, and custom machine-learning pipelines. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 ◈ 𝐀𝐈 / 𝐋𝐋𝐌 OpenAI, Claude, Llama, Hugging Face, LangChain, LangGraph, MCP, RAG, RAGAS, embeddings, LoRA, PEFT ◈ 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 PyTorch, TensorFlow, Scikit-learn, XGBoost, Transformers ◈ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 YOLO, OpenCV, Detectron2, OCR, object detection, tracking, segmentation, image processing ◈ 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 pgvector, FAISS, Pinecone, Qdrant, ChromaDB ◈ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐃𝐚𝐭𝐚 Python, FastAPI, Flask, Node.js, SQL, PostgreSQL, MongoDB, Redis ◈ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 n8n, APIs, webhooks, third-party integrations, agentic workflows ◈ 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Docker, Kubernetes, AWS, Azure, GCP, Linux, CI/CD ◈ 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐄𝐝𝐠𝐞 𝐀𝐈 ONNX, TensorRT, CUDA, NVIDIA Jetson 𝐇𝐚𝐯𝐞 𝐚𝐧 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐧 𝐦𝐢𝐧𝐝? Send me your requirements whether you have an early idea, an existing prototype, or a production system that needs improvement. I can help you define the right architecture, choose the right AI approach, build the system, integrate it with your existing infrastructure, and take it from 𝐩𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐭𝐨 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧.