Resume
Here is my resume. Feel free to contact me with any feedback or collaboration opportunities.
Basics
Name | Sajratul Yakin Rubaiat |
Label | PhD Student in Computer Science, Specializing in Large Language Models and Databases |
yakin.rubaiat@gmail.com | |
Phone | (986)6008807 |
Summary | A dedicated Research Fellow with a strong interest in fundamental Large Language Models and their potential applications in fields like biology. I have good experience in machine learning, software engineering, and data analysis. Currently pursuing a PhD in Computer Science at the University of Idaho, where I am actively contributing to research in pneumonia detection and early diabetes prediction. |
Interests | Fundamentals of Deep Learning Models, Large Language Model Architecture, AI in Social Science, Network and Graph Analysis, Knowledge Graphs and Large Language Models, Biomedical Science |
Work
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2024.08 - Present Idaho, USA
Teaching Assistant
Computer Science Department, University of Idaho
- Assisting in undergraduate computer science courses.
- Conducting lab sessions and providing academic support to students.
- Grading assignments and exams.
- Collaborating with faculty on curriculum development.
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2019.12 - 2024.07 Bangladesh
Senior Software Engineer
Enosis Solutions
- Optimized Communication Center with synchronization and data persistence.
- Led campaign automation with SMS/email workflows and dynamic opt-outs.
- Resolved complex bugs, fixing asynchronous handling and race conditions.
- Managed database migrations, ensuring seamless evolution and performance.
- Revamped UI/UX across platforms for cross-device compatibility.
- Improved API performance, reducing latency in high-traffic applications.
- Implemented role-based access control, enhancing security.
- Integrated MMS capabilities, managing media lifecycle.
- Developed test automation frameworks and conducted regression testing.
- Led cross-functional teams, collaborating globally on feature development.
- Implemented push notifications and worked on iOS webviews.
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2017.03 - 2022.12 Portland, USA
Research Fellow
Ankur Undergrad Research Scholarship
- Collected a dataset of over 140 patient records for pneumonia detection, validated by three different doctors.
- Developed web-based medical software for pneumonia detection, enabling users to upload mobile-captured X-ray images and receive pneumonia predictions.
- Created and analyzed a custom Residual Attention Network model for pneumonia detection, outperforming existing models.
- Studied and implemented various models for early diabetes prediction, demonstrating the effectiveness of data recovery with MLP over K-means-based noise reduction with different classifiers.
Education
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2024.08 - Present -
2016.01 - 2019.12 Bachelor of Science and Engineering
Patuakhali Science and Technology University
Computer Science & Engineering
Publications
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2024 Rape Cases with Legal Codes
Harvard Dataverse
Comprehensive dataset of rape cases in Bangladesh annotated with legal codes.
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2024 Bangladesh Rape Cases Metadata
Harvard Dataverse
Metadata files extracted from newspapers using LLM to analyze rape cases in Bangladesh.
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2024 Online Digital Investigative Journalism using SociaLens
26th International Conference on Information Integration and Web Intelligence (IIWAS)
Presented research on leveraging SociaLens for enhancing digital investigative journalism.
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2023 Bangladesh Weather Dataset (1901 - 2023)
Harvard Dataverse
Historical weather data from Bangladesh spanning over a century.
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2022 Efficacy of Transfer Learning Models in Pneumonia Detection with Scarce Local Healthcare Data
The 12th International Conference on Electrical and Computer Engineering (ICECE)
Evaluated the effectiveness of various transfer learning models for pneumonia detection using limited local healthcare data.
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2022 Design Recommendations for a Smartphone-based Point-of-Care Tool: Analyzing Context and Implications for Use in Rural Bangladesh
International Journal of Human–Computer Interaction
Analyzed the context and implications of using smartphone-based point-of-care tools in rural Bangladesh.
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2021 Pneumonia Detection Using Deep Transfer Learning in Gender Specific Chest X-ray Images
2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
Developed a deep transfer learning model for pneumonia detection tailored to gender-specific chest X-ray images.
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2018 Important Feature Selection & Accuracy Comparisons of Different Machine Learning Models for Early Diabetes Detection
2018 International Conference on Innovation in Engineering and Technology (ICIET)
Compared feature selection methods and machine learning models to enhance early diabetes detection accuracy.
Projects
- 2023.07
Bangladesh Law LLM
Developed a complete dataset of Bangladesh law for every year and section, along with a retrieval system enabling users to query legal information with references.
- 2020.01
Weather Time Series Data Analysis and Prediction
Analyzed 50 years of weather data from Bangladesh to develop a time series model predicting future temperatures, rainfall, and runoff.
- 2020.01
Newspaper Data Analysis
Analyzed newspaper articles to assess the prevalence and circumstances of road accidents and rape cases across Bangladesh.
- 2018.09
Different Type of Fruit Classification
Developed real-time software using Python to detect and sort different types of fruit into designated categories or boxes.
- 2017.12
3 Lead ECG
Designed and developed a 3 Lead ECG system using Java capable of measuring a person's electrocardiogram and providing valuable heart health information.
- 2017.12
Online MCQ Exam System
Created an online multiple-choice exam system using PHP, facilitating remote assessments and automated grading.
Awards
- 2019.03
Microsoft Malware Detection Challenge
Kaggle
Achieved Top 10% ranking in the Microsoft Malware Detection Challenge.
- 2019.03
Catch me if you can (User identity detection)
Kaggle
Secured Top 5% position in the Catch me if you can User Identity Detection competition.
- 2019.02
RSNA Pneumonia Detection Challenge
Kaggle
Ranked in the Top 13% for the RSNA Pneumonia Detection Challenge.
- 2016.2018
ACM ICPC Dhaka Regional (Onsite)
ACM, uHunt, Codeforces
Participated in ACM ICPC Dhaka Regional competitions across 2016, 2017, and 2018.
Certificates
Convolutional Neural Networks
Stanford University (MOOC) 2019-07
mlcourse.ai
Open Data Science 2019-04
Deep Learning Specialization
deeplearning.ai 2018-11
Machine Learning
Stanford University (MOOC) 2018-05
Skills
Expertise | |
Classification | |
Regression | |
Clustering | |
Feature Engineering | |
Convolutional Neural Networks | |
Data Augmentation | |
Time Series Analysis | |
Dimension Reduction (e.g., PCA) |
Programming Languages | |
Python | |
C++11 | |
Java | |
R |
Packages | |
Numpy | |
Pandas | |
Seaborn | |
Scikit-Learn | |
Plot.ly | |
ggplot2 |
Frameworks | |
Keras | |
fast.ai | |
TensorFlow | |
PyTorch | |
React | |
Flask | |
Django |
Miscellaneous Tools | |
Vim | |
Git | |
LaTeX |
Languages
Bangla | |
Native Speaker |
English | |
Fluent |
Volunteer
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2018.07 - 2018.07 Dhaka University
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2018.01 - 2018.01 Kathmandu, Nepal
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2016 - 2017 Dhaka
Instructor
BACS-BUBT National Programming Camp
Conducted beginner and intermediate programming sessions.