Faryal Hanif
AI/ML enthusiast focused on building real world LLM and machine learning systems.
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About
BS Computer Science graduate from FAST-NUCES with a deep interest in Artificial Intelligence, Machine Learning, and Computer Vision. I enjoy building intelligent systems, from training classifiers and designing ML pipelines to exploring how models perceive and interpret visual data. My most significant work includes developing an Adaptive Query Routing System for AI Models, where I applied a Random Forest-based approach to achieve ~87% routing accuracy through performance-driven model orchestration.
I am passionate about pushing the boundaries of AI and CV and eager to contribute to impactful, research-driven projects.
Experience
Front-End Web Developer Intern at KaiRiz (2024-06 – 2024-08)
- Built responsive web applications using HTML, CSS, and JavaScript.
- Collaborated on front-end and back-end development to build dynamic features.
Graphic Design Intern at ITSOLERA (2024-06 – 2024-08)
- Created digital content and graphics for client projects using Adobe tools.
- Contributed to branding, social media design, and real client deliverables.
Education
BS in Computer Science – National University of Computer & Emerging Sciences (FAST-NUCES) (2022-08 – 2026-05)
