Pial Islam Akter
@pialislamakter
Computer science graduate focused on ML engineering and full-stack development.
What I'm looking for
I am a Computer Science and Engineering graduate with strong hands-on experience building machine learning models and full‑stack web applications. I have designed transformer-based recommendation systems, built ensemble pipelines for malware detection with 97% exact match accuracy, and developed production-ready web platforms using React and Firebase.
My technical toolkit spans Python, Java, C/C++, Django, React, TensorFlow, XGBoost, CatBoost and common ML libraries; I combine rigorous experimentation with practical deployment skills and a collaborative, results-oriented approach to deliver measurable impact.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Independent Projects
Designed and implemented transformer-based and ensemble ML pipelines for tasks including next-POI recommendation and malware detection, achieving 97% accuracy on benchmark malware datasets and publishing work on spatio-temporal recommendation models.
Education
Degrees, certifications, and relevant coursework
North South University
Bachelor of Science, Computer Science and Engineering
Grade: 3.50/4.00, Cum Laude
Bachelor of Science in Computer Science and Engineering completed with a CGPA of 3.50/4.00 and awarded Cum Laude in December 2024.
Dhaka Imperial College
Higher Secondary Certificate (H.S.C), Higher Secondary Certificate
Grade: 4.17/5.00
Completed Higher Secondary School Certificate (H.S.C) with a GPA of 4.17/5.00 in July 2018.
Availability
Location
Authorized to work in
Job categories
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