Haseeb Arshad

I'm a Data Science student at FAST-NUCES Islamabad, specializing in AI agent engineering, full-stack development, and production automation. I build systems that ship — not prototypes — and I'm driven by connecting AI capability to real operational outcomes: fewer manual handoffs, more reliable pipelines, and tools that actually work under real usage. As Founding Engineer at an AI agent platform, I co-architected the company's agentic AI system from the ground up, covering LLM pipelines, tool-use, memory, and multi-step reasoning, and led full-stack delivery with FastAPI and React to turn that capability into usable interfaces. Earlier, as an AI Engineer at Trilles AI, I architected and deployed end-to-end AI pipelines using LangChain and voice agents for client-facing automation, and orchestrated multi-agent workflows with n8n to connect third-party APIs into production-grade systems for real businesses. My standout projects include Visa2Land, a live voice AI platform for Australian visa eligibility assessment used by a real migration agency; ScopeForge, a cost-optimized multi-model LLM pipeline for automated proposal generation; NexusDeals, a full-stack deal aggregator scraping 155 e-commerce sites with a Redis-cached FastAPI backend; and a multilingual RAG agent for Islamic content retrieval across Arabic, Urdu, and English. I also bring hands-on data analysis experience — building Power BI and Tableau dashboards for stakeholder KPI reporting during a Data Analyst internship at IntegCubes. I'm looking for a high-impact AI or full-stack engineering role where I can keep shipping real, production-grade systems using Python, LLM orchestration, and automation.