Ahsan U.

One AI system I built resolves 2,000+ support tickets a day at 94% auto-resolution. Another cut 6+ hours of manual work daily by wiring AI directly into a client's existing tools, not a demo, a production system their team runs every day.

Most AI automation fails because it's bolted onto messy, scattered data with no error handling or audit trail. I started in data engineering, SQL, and Power BI, so I build the data layer first, then AI agents, machine learning, and automation on top of it, systems your team can trust, monitor, and actually run in production.

$450K+ earned on Upwork · 100% Job Success · Top Rated Plus · 371 projects · 3,400+ hours.

𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐟𝐨𝐫 𝐜𝐥𝐢𝐞𝐧𝐭𝐬:
✓ Data engineering and ETL pipelines SQL and Python work that turns scattered sources into clean, analysis-ready data
✓ Power BI and Microsoft Fabric dashboards for data visualization and data analysis, wired to automated, governed pipelines
✓ Agent framework deployment and orchestration OpenClaw, Hermes, LangGraph, and MCP-based systems for teams running production AI agents
✓ RAG chatbots and document intelligence using OpenAI, Claude, LangChain, NLP, and vector databases
✓ AI automation workflows in n8n, Make, and Zapier connecting CRMs, email, documents, SaaS tools, and databases
✓ Custom API integrations that expose your existing tools to AI agents

𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐡𝐢𝐫𝐞 𝐦𝐞:

Most AI automation fails because it isn't connected to clean data, real permissions, audit trails, or proper error handling. I focus on production systems your team can use, monitor, and improve not one-off scripts that break in a week.
If you're trying to automate a manual process, connect AI to your existing tools, or turn messy data into reliable decisions, send me a short description of your workflow. I'll map the safest architecture with you before we build anything.