Ismail T.

Data & automation systems that make AI actually work in your business — from an Expert-Vetted engineer (Upwork's top 1%) with $400K+ earned, 1,600+ hours, and 100% Job Success across 94 completed projects. Most "AI" projects don't fail at the model. They fail at the plumbing: messy data, no pipelines, nothing production-ready. That's the gap I close. For 7+ years I've built the data engineering, automation, and analytics backbone that turns raw, scattered data into reliable systems — and now into AI-ready ones. What I build: • AI & Agentic Automation — LLM/RAG systems over your own data, autonomous agent workflows, and intelligent automations: document processing, data extraction, internal Q&A/chat, and multi-step pipelines that replace manual operations end-to-end. • Data Engineering — ETL/ELT pipelines, data warehousing, and database architecture that AI and analytics run on top of. • Machine Learning & Forecasting — predictive models and data science. (I teach ML to 120,000+ students on Udemy.) • Analytics & Interactive Dashboards — decision-ready dashboards and web apps in R/Shiny, Python, and SQL. Recent outcomes: ⚙️ Replaced a 20-hour/week manual reporting process with an automated pipeline — cutting it to near-zero and saving the team ~$5,000/month. 🤖 Built a RAG/LLM assistant over a client's internal data — cutting support response time by ~80%. 📊 Delivered a custom-coded interactive dashboard giving leadership real-time visibility into enterprise analytics — fast-tracking budget approvals and cutting wasted spend. 🗄️ Consolidated dozens of scattered sources into a single warehouse via automated ETL — cutting data prep from weeks to minutes and making it AI-ready. Why clients trust me with their most critical work: • Expert-Vetted — Upwork's invite-only top 1%. $400K+ earned across 94 engagements, 100% Job Success track record, 1,600+ verified hours, 4.9★ with 96% of clients ready to hire again. • I don't hand over code — I own the outcome. Every engagement starts with your business constraint, not a tech stack. • Background delivering for enterprise data teams in healthcare and fintech. U.S.-based. Message me with your challenge and let's scope it on a short call.