Available to hire
Hi, I’m Iqra Azam. I’m a final-year AI undergraduate specializing in Computer Vision, MLOps, and Generative AI (RAG) with a focus on scalable medical solutions. I’m passionate about building systems that blend research-grade accuracy with production-ready deployment. I enjoy turning ideas into end-to-end pipelines and collaborating across teams to deliver impactful AI solutions.
I have hands-on experience engineering end-to-end pipelines using PyTorch, Docker, and AWS, and I’m comfortable navigating both research experiments and production environments to ensure robust, scalable deployments.
Language
English
Fluent
Urdu
Fluent
Work Experience
Teaching Assistant – Knowledge Representation & Reasoning at FAST National University Chiniot
August 1, 2025 - January 1, 2026Graded assignments for 60+ students covering First Order Logic (FOL), Fuzzy Logic, Resolution, Production Rules and Ontologies, ensuring 100% on-time grading.
Teaching Assistant – Programming for AI at FAST National University Chiniot
August 1, 2024 - January 1, 2025Mentored students on technical assignments covering the full data science stack, including Python basics, SQL, GitHub version control, EDA, and basic machine learning concepts.
Education
Bachelor of Science in Artificial Intelligence at FAST National University Chiniot-Faisalabad
January 11, 2030 - June 1, 2026Qualifications
Industry Experience
Software & Internet, Healthcare, Education, Professional Services
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