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AI Engineer with less than a year in LLMs, Frontend Development & Machine Learning.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Faryal Hanif is an aspiring AI Engineer and Computer Science student with practical experience in frontend web development and graphic design. She possesses strong technical skills in AI/ML, LLMs, Python, and web technologies like React, complemented by a solid foundation in data-driven application development. Her project portfolio showcases an ability to build intelligent systems, from query routing for AI models to medical RAG systems and machine learning pipelines.
FAST NUCES
Bachelor of Computer Science · Computer Science
August 1, 2022 – June 30, 2026
KaiRiz
Front End Web Developer Intern
June 1, 2024 – Present
India
ITSOLERA
Graphic Design Intern
June 1, 2024 – Present
Islamabad, Islamabad Capital Territory, Pakistan
MediRAG Medical Document Question Answering System
January 1, 2023 – January 1, 2024
Developed a fully offline, privacy-focused medical RAG system that chunks multiple PDFs, converts them into vector embeddings using Sentence Transformers, and indexes them in FAISS for precise context-driven queries via local Phi-4 Mini.
View ProjectTitanic Survival Prediction Pipeline
January 1, 2023 – January 1, 2024
Built an end-to-end machine learning pipeline (80% test accuracy) featuring missing data imputation, custom feature engineering (Family Size), and an interactive full-stack interface utilizing the serialized Joblib model.
View ProjectTour & Travel Booking System
January 1, 2023 – January 1, 2024
Designed and developed a responsive booking web platform supported by a relational database schema and dynamic back end server query handling.
Adaptive Query Routing System for AI Models (Final Year Project)
January 1, 2023 – May 31, 2026
Engineered an intelligent query-routing framework utilizing a Random Forest classifier (87% accuracy) to select optimal LLMs based on cost, response quality, and latency, complete with a real-time explainability dashboard.
View ProjectML Enhanced E-Commerce Platform
January 1, 2023 – January 1, 2024
Developed a responsive full-stack e-commerce marketplace featuring dynamic product filtering UI components and integrated custom machine learning recommendation logic to personalize user product discovery.
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and foundational skill set in AI/ML, which aligns well with an AI Engineer role. The diversity of projects, from LLM routing to RAG systems and traditional ML pipelines, indicates a broad curiosity and willingness to explore different facets of AI. While the work experience is primarily front-end development and graphic design, the academic focus on AI/ML suggests a clear career trajectory towards AI. The involvement in extracurricular activities like GDSC indicates a collaborative spirit and engagement within technical communities.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Thinking', 'Problem Solving', 'Attention to Detail', and 'Documentation' as soft skills. Project descriptions indicate an ability to tackle complex problems and deliver functional systems. Participation in GDSC suggests teamwork and engagement. However, without specific psychometric or English test scores, a comprehensive assessment of operational fit and communication clarity is limited.