Danish Ali

AI Automation and AI-assisted Development Specialist with experience building GenAI applications, agentic workflows, dashboards, API-based automations, and LLM tool-calling systems. Skilled in Python, FastAPI, React, TypeScript, LangGraph, LangChain, LlamaIndex, APIs, RAG, and AI-assisted development tools such as Codex, Cursor, Gemini CLI, and Claude-style coding workflows. Strong focus on rapid prototyping, workflow automation, system integration, and building practical tools from business requirements.

Machine Learning Intern at Arch Technologies (2025-06 – 2025-08)

• Built and tested RAG pipelines and agentic AI workflows using Python and Docker for document-based AI applications.
• Developed evaluation workflows to benchmark LLM reliability, retrieval quality, reasoning accuracy, and hallucination risk.
• Worked on prompt design, retrieval logic, and response validation to improve consistency of LLM-generated outputs.

Bachelor of Science in Artificial Intelligence – National University of Computer and Emerging Sciences (2022-08 – 2026-06)