cv
My Résumé
Basics
| Name | Naosher Mustakim |
| Label | Engineer |
| naosher.mustakim@gmail.com | |
| Phone | (880) 1644614303 |
| Url | https://naosher98.github.io/website/ |
| Summary | A Bangladeshi born engineer and researcher. |
Education
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2023.05 - 2024.10 Dhaka, Bangladesh
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2017.03 - 2022.08 Chittagong, Bangladesh
B.Sc. - CGPA- 2.99/4.00
Chittagong University of Engineering and Technology
Electrical and Electronics Engineering
Publications
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2025 Explainable prediction of problematic internet use (PIU) resulting from loniness, low self-esteem and psychological distress among Bangladeshi university students using a machine learning approach
Public Library of Science, PLOS One.
Mustakim, N. , Muntasir, N., Muntaha, S., Azad, M.S. and Mahdy, M.R.C. (2025). In review.
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2025 Design and Analysis of a Low-Cost Polyester-Based Wearable Antenna for Broadband On-Body Communication
Wiley, The Journal of Engineering.
Rahman, M.A., Farhan, T., Mustakim, N. , Dhar, N., Bhuiyan, B.I., and Hossain, M.A.(2025). In review.
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2024 An Explainable AI-based Deep Learning Model for Classification of Diabetic Retinopathy Stages Using Retinal Fundus Images
27th International Conference on Computer and Information Technology (ICCIT 2024)
DOI:10.1109/ICCIT64611.2024.11022403
Muntaha, S., Salam, S.S. and Mustakim, N. (2024)
Work
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2024.03 - Present Engineer Electrical
Bangladesh Steel Re-Rolling Mills Ltd (BSRM)
Electrical maintenance of induction furnace and utilities
- Steelmaking
Volunteer
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2021.07 - 2021.08 Chattogram, Bangladesh
Junior Machine Learning Engineer
Omdena
Web scraped road accident data from newspaper, cleaned and preprocessed the data, visualized and analyzed the data.
- Built a time-series model using LSTM
Awards
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2018.11
Government Technical Scholarship awarded based on merit in the undergraduate entrance exam.
Bangladesh Technical Education Board
Skills
| Programming Languages and libraries | |
| Python | |
| PyTorch | |
| Tensorflow | |
| SciKit-Learn | |
| Numpy | |
| Pandas | |
| Matplotlib | |
| Plotly | |
| Pandas | |
| Seaborn | |
| MATLAB | |
| C | |
| LaTeX |
| Software | |
| Microsoft Office | |
| Python | |
| Overleaf | |
| Tensorflow | |
| Draw.io | |
| COMSOL | |
| ADS simulation software | |
| CST | |
| Origin plots |
Languages
| Bangla | |
| Native speaker |
| English | |
| Proficient |
| Hindi | |
| Intermediate (Conversational) |
| German | |
| Beginner |
Interests
| Deep learning | |
| Neural Network | |
| Convolutional Neural Network | |
| Recurrent Neural Network | |
| Long Short-Term Memory | |
| Generative Adversarial Network |
Projects
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2023.01
Sports Ball Recognizer
Collected image data utilizing fast.ai library, pre-processed data including data cleaning, manipulation. Trained a RESNET34 model applying fast.ai, deployed the model employing Gradio & HuggingFace API
- Fast.ai
- Gradio
- HuggingFace
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2023.01
Poly-pathology Diagnosis Platform
Collected data from Kaggle, trained a diabetes prediction model using SVM. Trained heart disease prediction model using logistic regressionTrained a Parkinson’s disease prediction model using SVM. Deployed these model on Render
- Python
- Streamlit
- Render