Software Engineer Machine Learning
Resume:
Bilal Khan
Software Engineer
*****.****@************.***
Karachi, Pakistan
PROFESSIONAL SUMMARY
AI/ML Engineer with over a year of hands-on experience at Xloop, Karachi, specializing in computer vision, data pipelines, and annotation workflows. Adept at developing, deploying, and fine-tuning machine learning models with practical experience using tools like CVAT and X-AnyLabeling for robust dataset curation. WORK EXPERIENCE
Xloop – AI/ML Engineer Karachi, PK May 2024 – Present
• Assisted in developing computer vision pipelines for object detection and classification tasks in various client projects.
• Created and managed datasets using annotation tools (CVAT, X-AnyLabeling), maintaining quality and consistency.
• Implemented basic data augmentation techniques to improve model performance.
• Deployed trained models through REST APIs using FastAPI, collaborating with other developers for seamless integration.
• Conducted model testing and troubleshooting to ensure stable deployments. EDUCATION
● B.S. Software Engineering, Imperial College of Business Studies, Lahore, Pakistan Feb 2018 SKILLS
• Programming Languages: Python, TensorFlow, PyTorch, OpenCV, SQL, NumPy, Pandas, HTML5, CSS3, PHP
• Object Detection (YOLOv8)
• Segmentation (U-Net, Mask R-CNN)
• Data Preprocessing & Augmentation (Python, Pandas, Albumentations)
• Annotation & QA (CVAT, X-AnyLabeling)
• MLOps (Docker, AWS SageMaker)
Languages:
• English: IELTS Academic [7.5 Bands Overall]
• Urdu
CERTIFICATIONS
xloop Digital: AI Engineering Bootcamp
PROJECTS
● Smart Retail Shelf Analyzer (YOLOv8, CVAT, Python): Built detection pipeline and automated annotation ingestion; improved labeling efficiency by 40%.
● Fashion Outfit Recommender & Segmentation:
Developed a visual similarity system with YOLOv8-Seg, ViT, and FAISS, achieving 88% user satisfaction in prototype testing; built a segmentation pipeline with Albumentations and CVAT, reducing annotation revisions by 35%.
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