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
Email 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

  • 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.
  • 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.
  • 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

Publications

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

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

  • 2018.07 - 2018.07

    Dhaka University

    Participant
    National Research Summer Camp
  • 2018.01 - 2018.01

    Kathmandu, Nepal

    Instructor
    Nepal National Programming Camp
  • 2016 - 2017

    Dhaka

    Instructor
    BACS-BUBT National Programming Camp
    Conducted beginner and intermediate programming sessions.