AI Engineer with 1+ years in LLMs, RAG, and Agentic AI Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Duaa Fatima is a Bachelor of Data Science student and a Dean's List recipient with 1.2 years of experience as an AI Engineer and Research Assistant. She specializes in designing and implementing LLM-powered content generation pipelines, architecting agentic AI systems for multi-agent coordination, and fine-tuning models for domain-specific NLP. Her expertise spans prompt engineering, RAG, multi-agent systems, and full-stack development with Python, React.js, and Flask, demonstrated through impactful projects and professional roles.
FAST University, Islamabad
Bachelor of Data Science · Data Science
September 1, 2021 – June 30, 2025
Indexy (indexyai)
AI Engineer
April 1, 2026 – Present
India
NCRA UAV Dependability Lab
Research Assistant
October 1, 2025 – Present
India
ALGORYC
Jr. Python Developer
August 1, 2025 – October 31, 2025
India
UrduX – AskFast
AI Developer Intern
June 1, 2024 – August 31, 2024
India
WhatsApp Agentic Scheduler
June 1, 2026 – Present
Designed agentic automation pipeline for natural-language scheduling via WhatsApp with real-time calendar API integration and business-hour validation logic.
EDBOT – AI Educational Platform
June 1, 2026 – Present
Full-stack RAG platform with semantic retrieval from Pinecone vector DB; delivered personalised content generation with 80%+ accuracy.
5-Day Intensive AI Agent Course
June 1, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 1, 2026 – Present
Agile Foundations
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from educational platforms to agentic schedulers and UAV swarm systems, demonstrates a broad interest and adaptability. Their experience in both personal projects and professional roles (AI Engineer, Research Assistant, Jr. Python Developer, AI Developer Intern) shows a willingness to learn and contribute across different contexts. The target role of AI Engineer aligns well with their current and past experiences, particularly in LLM-powered content generation and agentic AI systems. The breadth of skills in LLMs, RAG, agentic AI, backend, frontend, ML, and NLP suggests a versatile individual who can contribute to various aspects of an AI team.
Soft Skills & Operational Fit
The candidate's resume indicates experience in client liaison and leading demos, suggesting good communication and presentation skills. Their involvement in research and project work implies a proactive and problem-solving attitude. The Agile Foundations certification also points to an understanding of agile methodologies, which is beneficial for operational fit.