Uwais K.

Updated on 3rd june 2026 I build AI systems that act as a "force multiplier" for executives and their teams. Case Study: Built an enterprise AI analytics and reporting platform for a multi-company organization with 1,000+ users, integrating Salesforce, Slack, Asana, Google Drive, and Google Sheets into a unified AI ecosystem. Leveraged MCP, RAG, Qwen, LangChain, Pinecone, and Python-based knowledge ingestion pipelines to enable enterprise search, automated reporting, cross-platform data retrieval, and AI-driven decision support, significantly improving operational efficiency and reducing manual workflows. Most AI implementations fail because they are disconnected from the actual data employees use every day. I specialize in building Agentic Workflows on Azure that bridge the gap between your raw data (Slack, Email, Meetings) and actionable business intelligence. My Signature Achievement: 1. The Virtual COO (Executive Intelligence): Developed an AI "Chief of Staff" that consolidates Slack, Gmail, and meeting transcripts into a single decision-engine. Built with Azure OpenAI and n8n, it identifies bottlenecks and prioritizes tasks so nothing drops through the cracks. 2. AI Clinical Assistant (Scaled Healthcare): Built a RAG-based diagnostic support tool currently used by 300,000+ practitioners in Europe. It leverages LangChain and Pinecone to analyze patient patterns in real-time, surfacing evidence-based treatment suggestions in Portuguese while staying strictly compliant with local privacy laws. 3. Private Vision Pipeline (Secure Taxation): A client needed to extract data from handwritten tax documents but couldn't use OpenAI/Claude due to privacy. I deployed a 2B parameter Vision Language Model on private servers. The Result: 98% accuracy on handwritten text and a 14,000% increase in processing speed (from 480 docs/day manually to processing a doc every 5 seconds). What I can do for you: Azure & Private AI: Whether you need Azure AI Foundry or a fully private, locally-hosted LLM to keep your data secure, I’ve built both. Agentic Automation: I don't just "connect APIs." I build agents that think, categorize, and act—using n8n, Python, and custom hooks. Production-First Data: As a Microsoft Certified Data Engineer, I ensure your data is clean before the AI touches it. No "garbage in, garbage out." The Tech Stack: Azure (OpenAI/Fabric) • LangChain • n8n • Python • Pinecone • SQL • dbt • Vision-Language Models (VLM) Why $30/hr? I am a veteran engineer, but I am new to the Upwork ecosystem. My current rate reflects my goal to build a 5-star reputation on this platform quickly. You are getting enterprise-grade architecture at a "reputation-building" price. Let’s hop on a call to talk about your workflow. I’ll tell you exactly what’s possible, and more importantly, what’s a waste of your money. Uwais