Aimen A.
Mid-Level Machine Learning Engineer
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Aimen A. is a skilled Machine Learning Engineer based in Islamabad, Pakistan, with notable expertise in computer vision and natural language processing. As a freelancer from May 2025 to present, Aimen developed sophisticated AI solutions, including a multimodal system for distinguishing AI-generated from human-generated content using both imaging and text data. She implemented self-supervised learning techniques, enhancing feature representation on diverse datasets. Additionally, Aimen has built a privacy-preserving diagnostic system using federated learning for musculoskeletal analysis and crafted a financial fraud detection strategy integrating human feedback to optimize decision-making. Her internship at Ezitechs Pvt Ltd entailed creating computer vision models for medical imaging, while her time at MazTechs Pvt Ltd involved data analysis and financial anomaly detection. Aimen is proficient in Python, PyTorch, and data analysis tools, with hands-on experience in building and optimizing machine learning models across various domains.
Experience
Machine Learning Engineer
Freelancer · 2025 — PresentDeveloped a multimodal machine learning system focused on AI vs Human classification through the integration of image and text data. Implemented computer vision and NLP models to enhance the detection of AI-generated and human-generated content. Designed self-supervised learning techniques for effective feature representation on multimodal datasets. Built a Musculoskeletal (MSK) diagnostic system utilizing federated learning for privacy-preserving training across medical datasets. Developed a financial fraud detection system using Learning to Defer, fostering collaboration between AI models and human decision-making. Optimized deferral strategies to improve detection performance through deep learning and reinforcement learning concepts.AI vs Human Content detection
Freelance · 2025 — 2025Constructed a multimodal model integrating text and image features for distinguishing between AI and human-generated content. Implemented self-supervised learning techniques for robust classification. Benchmarked against baseline models and achieved improved accuracy.Musculoskeletal Disorder
Freelance · 2025 — 2025Executed a federated learning framework for classifying musculoskeletal radiographs (MURA). Simulated non-IID client data to mimic real-world training scenarios. Employed MobileNetV3 for conducting privacy-preserving analysis of medical images.Final Year Project
Facial Skin Disease Detection · 2024 — 2024Engineered a computer vision system for the detection and classification of facial skin diseases from medical images. Employed ensemble learning techniques for models like EfficientNet, InceptionNet, and MobileNet to enhance accuracy while minimizing misclassification. Implemented image preprocessing procedures including resizing, normalization, and augmentation to improve dataset quality and model generalization. Achieved higher sensitivity and specificity in disease detection by combining predictions from multiple models.Machine Learning Intern
Ezitechs Pvt Ltd · 2023 — 2023Created computer vision models aimed at identifying bone fractures and dislocations using medical imaging datasets. Employed image preprocessing and augmentation methods, and evaluated model performance based on metrics such as accuracy, precision, recall, and f1-score. Trained and tested models utilizing Python with PyTorch for both computer vision and natural language processing.Bone Fracture and dislocation
Eziline Software House · 2023 — 2023Developed a deep learning model focused on the automated detection of bone fractures and dislocations from X-ray images. Leveraged Convolutional Neural Networks (CNN) for feature extraction and classification, and enhanced performance through data augmentation and preprocessing techniques.AI based Article Summarization
Eziline Software House · 2023 — 2023Created a text summarization model capable of generating concise and coherent summaries from lengthy articles. Utilized natural language processing (NLP) techniques for automatic article summarization and text analysis. Preprocessed extensive text datasets through tokenization, stop-word removal, and embeddings to improve model accuracy.Data Analysis Intern
MazTechs Pvt Ltd · 2022 — 2022Processed and cleaned large, messy datasets relating to financial transactions. Conducted Exploratory Data Analysis (EDA) to uncover patterns and identify irregularities. Utilized statistical methods to derive conclusions and business insights. Enhanced model accuracy for anomaly detection by implementing and tuning functions, while applying packages such as Pandas, Numpy, and Matplotlib for data analysis. Identified anomalies and fraud using both analytical techniques and machine learning methods, and created data visualizations and dashboards for insight generation.Financial Anomaly detection
MazTech Pvt Ltd · 2022 — 2022Applied unsupervised methods for anomaly detection. Established efficient data preprocessing pipelines suitable for handling large-scale transactional datasets.
Skills & Expertise
Education
- Bachelor of Science in Software EngineeringFatima Jinnah Women University - Rawalpindi · 2020 — 2024
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