Aimen Arshad

Machine Learning Engineer with experience in computer vision and natural language processing. Experienced with financial anomaly detection, multimodal AI, and data science. Python, PyTorch, Statistics. Experienced with building smart models and gathering insights from data.

Machine Learning Engineer at Freelancer (2025-05 – Present)

• Developed a multimodal machine learning system for AI vs Human classification using both image and text data.
• Implemented computer vision and NLP models to detect AI-generated and human-generated content with improved classification accuracy.
• Designed and applied self-supervised learning techniques for efficient feature representation on multimodal datasets.
• Built a Musculoskeletal (MSK) diagnostic system using federated learning to enable privacy-preserving training across distributed medical datasets.
• Developed a financial fraud detection system using Learning to Defer with human feedback, enabling collaboration between AI models and human decision-making.
• Applied deep learning and reinforcement learning concepts to optimize deferral strategies and improve detection performance

Machine Learning Intern at Ezitechs Pvt Ltd (2023-06 – 2023-11)

• Developed computer vision models to identify bone fractures and dislocations with medical imaging datasets.
• Implemented image preprocessing and augmentation methods.
• Assessed model performance on accuracy, precision, recall, and f1-score.
• Trained and tested models in Python with PyTorch for computer vision and natural language processing

Data Analysis Intern at MazTechs Pvt Ltd (2022-07 – 2022-09)

• Cleaned and preprocesses messy large datasets related to financial transactions.
• Carried out EDA (Exploratory Data Analysis) to discover patterns and irregularities.
• Utilized statistical methods to draw conclusions and business insights.
• Implemented and tuned functions to enhance model accuracy for anomaly detection
• Applied packages like Pandas, Numpy, and Matplotlib to analyze data.
• Identified anomalies and frauds using both analytical and ML methods.
• Built Data Visualizations & Dashboards to derive insights

Bachelor of Science in Software Engineering – Fatima Jinnah Women University (2020-10 – 2024-10)