Zainab Khalid

AI/ML Engineer specializing in Prompt Engineering, LLM Applications, Retrieval-Augmented Generation (RAG), and MultiAgent AI Systems. Experienced in designing, testing, and optimizing prompts for context-aware AI applications using LangChain, CrewAI, FAISS, and Ollama. Passionate about improving AI response quality, reasoning, and workflow automation through effective prompt design and evaluation.

AI/ML Engineer - Kuai Labs AI - Remote

(2025-11)

• Developed end-to-end LLM applications using Python, LangChain, FAISS, CrewAI, and Ollama (Llama 3).
• Built Retrieval-Augmented Generation (RAG) pipelines for context-aware question answering over custom knowledge bases.
• Designed multi-agent AI systems for workflow automation, task coordination, and autonomous decision-making.
• Developed advanced chatbots with memory, tool integration, and agent orchestration.
• Implemented semantic search using embeddings and FAISS for improved retrieval accuracy.
• Designed, tested, and optimized prompts for LLM-powered applications, improving response relevance, reasoning quality, and task completion accuracy.
• Integrated local LLMs via Ollama for cost-efficient inference.
• Collaborated using Git/GitHub for version control and team development.

Software Development Intern - ALLIANCE TECH (PVT.) LTD - Remote

(2024-07 - 2024-11)

• Built web and mobile applications including meal planner, quiz system, and budget manager.
• Developed frontend and backend features using modern frameworks.
• Worked with databases, debugging, testing, and performance optimization.
• Followed Agile-style collaboration and version control practices.

Bachelors of Computer Science - Computer Science - University of Central Punjab, Lahore (2021-10 - 2025-07)

Intermediate in Computer Sciences - Computer Sciences - Punjab Group of Colleges, Lahore (2019-07 - 2021-08)