AI/ML Engineer | Computer Vision | Python | Deep Learning
I am a Computer Science and Engineering student and Research Assistant specializing in Machine Learning, Deep Learning, Computer Vision, and AI application development.
I develop practical AI solutions using Python, PyTorch, TensorFlow, Keras, OpenCV, Streamlit, Flutter, and Dart. My experience includes image classification, object detection, semantic segmentation, dataset preprocessing, data augmentation, model training, model evaluation, and AI model deployment.
My major projects include TerraSeg, an on-device satellite and aerial image segmentation application using DeepLabV3-ResNet50; a Bangladeshi mango variety classifier using EfficientNetB0 that achieved 98.01% accuracy; and a YOLOv8-based road scene object detection system.
I also have experience developing responsive websites and software applications using HTML, CSS, JavaScript, Django, Supabase, SQLite, and MySQL. I focus on clean code, reliable implementation, practical solutions, and clear documentation.
I am interested in freelance and part-time opportunities involving AI/ML, computer vision, Python development, research implementation, AI application development, and web or mobile software projects.
Work Terms
Work type: Freelance / Contract
Availability: Part-time
Hours per week: 20 hours
Expected hourly rate: US$10
Preferred engagement: Remote
Start date: Immediately
Timezone: Asia/Dhaka (GMT+6)