Nafia Aamir

I recently completed my bachelor's in Information Technology (ranked 2nd in batch, 3.75 CGPA), specializing in building reliable, efficient AI systems and Natural Language Processing (NLP) pipelines. My expertise lies in handling complex, unstructured data, creating robust document-processing workflows, and implementing advanced retrieval mechanisms like RAG and Cross-Encoder reranking. Alongside my engineering focus, I am deeply committed to technical leadership, currently serving my second consecutive cohort as a Stanford "Code in Place" Section Leader, where I mentor international students across 13+ countries.

I thrive on tough algorithmic challenges—ranging from national competitive programming to hackathons—and am eager to leverage my skills on a high-impact engineering team.

Section Leader - Code in Place at Stanford University (2025-04 – Present)

• Lead weekly Python sessions, mentoring, and code reviews for students across 13+ countries (e.g., USA, Morocco, Nigeria).
• Support a global learning cohort by simplifying core programming concepts in a structured and interactive environment.

AI Intern at Tamiz-ud-Deen Law Chamber (2025-03 – 2025-04)

• Developed AI-powered tools for legal drafting and document analysis using Python and large language models, summarizing dozens of case files to improve practice efficiency.
• Collaborated with lawyers to test the systems on real cases, refining outputs across 50+ legal queries to improve accuracy and usability.

Python Mentor at YPDC, University of Agriculture (2023-09 – 2025-06)

• Conducted peer-led Python programming sessions for students within the university club.
• Delivered knowledge-sharing workshops on programming fundamentals and emerging tech trends.

Bachelor of Science in Information Technology – University of Agriculture, Faisalabad (2021-09 – 2025-06)