
Agentic AI Developer | RAG & Multi-Agent Systems | Building Nyra & AI Task Teller
I'm Aiman Shahid — a BSCS student at LCWU, currently in my 7th semester, building my path in Agentic AI development. My focus is on inference-side LLM orchestration: RAG pipelines, multi-agent handoffs, and tool-using systems rather than model training.
I've built Nyra, a RAG chatbot with a glassmorphic dark UI powered by FastAPI and Qdrant, and AI Task Teller, a multi-agent system built on the OpenAI Agents SDK with Chainlit — designed around greeting flows, task handoffs, and contextual responses.
Alongside my degree, I'm completing PIAIC's Agentic AI specialization, where I've worked across prompt engineering, MCP, and workflow automation with n8n. My long-term goal is PhD-level research in multimodal agentic systems — motivated by watching text-only agents fail when the problem was actually visual.
2024 - 2026
PIAIC – University of Management & Technology (UMT)
2023 - 2027
Lahore College of Women University (LCWU)
2021 - 2023
HIDC

– Personal AI chatbot with FastAPI backend and Qdrant vector DB for semantic memory and context-aware responses.
– Implemented RAG pipeline with persistent conversation history and glassmorphic productivity-focused UI.

– AI-driven task management app
– Analyzes user mood via interactive prompts and dynamically filters/reprioritizes task workflows using agent-based logic.

– Full-stack web app with role-based access (Teacher/Student), assignment management, and file uploads.
– Built comment system, dark mode, and AJAX join-class modal; led a 4-member team using Git branching workflow.

– Multi-agent system with greeting and task management agents connected via handoff architecture using OpenAI Agents SDK.