Muhammad T.

Most AI projects stall at the same hurdle: a flashy prototype that breaks the moment it touches messy, real-world business data. I close that gap. I'm an AI engineer and PhD researcher (Adaptive GraphRAG / information retrieval, Quaid-i-Azam University) with 10 years of software engineering behind me and 50+ completed contracts on Upwork. I design and ship RAG pipelines, AI agents and automation that run in the real world, including AI-EduSuite, a LangChain + RAG platform used daily by real teachers and students. ━━━━━━━━━━━━━━━━━━━━━ 🛠 WHAT I SOLVE & SHIP ━━━━━━━━━━━━━━━━━━━━━ • Custom RAG & Knowledge Engines (Vector + GraphRAG) Hybrid retrieval pipelines that connect LLMs to your private documents, databases and APIs, so answers are grounded and multi-hop questions actually work. • AI Agents & Workflow Automation Python agent systems (LangChain, Claude and OpenAI APIs) that handle document processing, lead handling, reporting and other operational tasks, with guardrails so they don't loop or go off-script. • Agent-Based Simulation (NetLogo / AnyLogic) My most repeated work on Upwork and the subject of my MSc in Simulation & Modeling: behavioural model building, debugging, calibration, BehaviorSpace parameter sweeps and results analysis. • Resilient Web Scraping & Data Pipelines Anti-block extraction, cleaning and structured pipelines that turn messy web data into analytics-ready datasets. • Full-Stack AI MVPs & Backend Engineering Fast-turnaround prototypes and deployable backends (Python/FastAPI, Laravel, React, AWS) ready for user onboarding and investor demos. ━━━━━━━━━━━━━━━━━━━━━ 🤝 HOW I WORK ━━━━━━━━━━━━━━━━━━━━━ ✔ Clear scoping: transparent milestones, agreed deadlines, fixed deliverables. ✔ Complete documentation: your team can run, maintain and extend everything without me. ✔ Integrity first: I would rather over-deliver on a $200 sprint than over-promise a $5,000 project. Have a manual bottleneck to automate, a RAG pipeline that needs fixing, a simulation model to build or debug, or an MVP ready to start? Send me your problem statement, spec or dataset and I'll reply with a concrete plan and next steps.