Education
Academic background, coursework, and additional training.
B.Sc. in Computer Science and Engineering
Specialization: Natural Language Processing, Machine Learning.
- Thesis: Context-Aware Data Cleaning Pipeline for Clinical Text and Low-Resource Language Bangla.
- Received the Best Paper Award at the IEEE International Conference on Intelligent Systems (IS) 2024, Varna, Bulgaria, for the clinical-text pipeline. Certificate
- Thesis work published at IEEE IS 2024 and, in extended form, in SN Computer Science (Springer Nature, 2025).
Relevant Coursework
All listed courses were completed with grade A, the highest grade (93% and above).
| Course | Code | Grade |
|---|---|---|
| Natural Language Processing (Special Topic) | CSE 495B | A |
| Machine Learning | CSE 445 | A |
| Design and Analysis of Algorithms | CSE 373 | A |
| Data Structures and Algorithms | CSE 225 | A |
| Theory of Computation | CSE 273 | A |
| Concepts of Programming Languages | CSE 425 | A |
| Database Management Systems | CSE 311 | A |
| Computer Organization and Architecture | CSE 332 | A |
| Probability and Statistics | MAT 361 | A |
| Linear Algebra | MAT 125 | A |
Additional Training
Lectures and mentorship from researchers at Meta, DeepMind, INRIA, and Cohere Labs on distributed training, transformers, retrieval-augmented generation, and prompt evaluation.
Verify credentialLinear and logistic regression, gradient descent, regularization, bias-variance trade-offs, and evaluation metrics, with Python mini-projects on feature engineering and hyperparameter tuning.
Verify certificateData modeling and SQL, data cleaning and integration, exploratory analysis, and communicating results, with guided exercises on reproducible analysis pipelines.
View certificateHonorable Mention as a contestant with NSU Problem Solvers.
ICPC profile