
Sirat Sabir
@siratsabir
Machine Learning Engineer building computer vision and NLP models, including an MRI stroke classifier with 95.92% test accuracy.
What I'm looking for
I co-authored a study on a deep learning system for MRI stroke detection, engineering a three-class classification pipeline that achieved 95.92% held-out test accuracy and 0.9956 average ROC-AUC. I validated the model with stratified five-fold cross-validation and used Grad-CAM to check where it focused.
For the MRI project, I compared models and techniques including MONAI, focal loss, mixup, image augmentation, and hyperparameter optimization. I also collaborated with team members to prepare model APIs for web application integration.
I developed an interactive image caption generator using an InceptionV3 encoder and LSTM decoder, and built a real-time hand and motion coordination game with OpenCV and MediaPipe. As a Flutter Development Intern at Evosoft, I contributed to production mobile applications and integrated Firebase services.
Experience
Work history, roles, and key accomplishments
Flutter Development Intern
Evosoft
Jan 2024 - Jan 2024 (0 months)
Contributed to production mobile applications using Flutter and Dart, integrating Firebase backend services including Firestore and Authentication. Collaborated with senior engineers to troubleshoot frontend bugs and streamline state management logic.
Education
Degrees, certifications, and relevant coursework
Air University
Bachelor of Science, Computer Science
2022 - 2026
Bachelor of Science in Computer Science with a focus on Machine Learning, Artificial Intelligence, Computer Vision, Data Structures & Algorithms, and Software Engineering.
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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