Open to opportunities

Fatima Zaman

@fatimazaman

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AI/ML engineer and Android developer specializing in on-device ML and mobile deployment.

Pakistan

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What I'm looking for

I am seeking a remote AI/ML or Android internship where I can contribute to mobile-first ML products, learn advanced deep learning/NLP, and work on privacy-preserving, production-ready deployments.

I am a Software Engineering student focused on AI/ML and Android development, with hands-on experience across the full machine-learning pipeline from data preparation and model training to mobile deployment.

I built and deployed a production-grade dental disease detection Android app using MobileNetV2 transfer learning, achieving 84.9% validation accuracy and a 9.08MB TFLite model for on-device inference that preserves user privacy.

My projects include end-to-end mobile ML, comparative ML model evaluation across multiple datasets, and full-stack Android and web applications using Kotlin, Firebase, Django, and Python. I diagnosed and resolved critical validation-augmentation bugs and integrated an LLM API to provide treatment recommendations.

I am actively seeking remote AI/ML or Android internship opportunities where I can contribute to real-world AI products, continue learning advanced deep learning and NLP techniques, and deliver privacy-preserving mobile ML solutions.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Academic Projects

Conducted ML model performance analysis across six models and datasets, implementing preprocessing, hyperparameter tuning, and evaluation with ROC curves and confusion matrices to inform model selection.

scikit learn Pandas Matplotlib Python Hyperparameter Tuning Model Evaluation ROC Analysis

AI/ML Engineer Intern

University of Management and Technology

Built and deployed a production-grade dental disease detection Android app using MobileNetV2 transfer learning and TFLite, achieving 84.9% validation accuracy with on-device inference and integrated LLM-based treatment recommendations.

TensorFlow MobileNetV2 Transfer Learning TFLite Kotlin Python

Android Developer

Personal Projects

Developed multiple Android applications including a Library Management app with Firebase real-time DB and a dental diagnosis app with on-device ML, implementing CRUD, authentication, and real-time sync.

Kotlin Android Studio Firebase REST APIs CRUD Authentication Git

Education

Degrees, certifications, and relevant coursework

University of Management and Technology

Bachelor of Science, Software Engineering

2023 -

Activities and societies: Relevant coursework: Deep Learning & Neural Networks, NLP, Machine Learning & Data Analysis, Data Structures & Algorithms, OOP & Design Patterns; student research on educational app interfaces for dyslexic children.

Pursuing Bachelor of Science in Software Engineering with coursework and projects focused on AI/ML, Android development, and full-stack applications; expected graduation in 2027.