About me
Highly motivated and enthusiastic in research and development. I enjoy generating new ideas and devising feasible solutions to broadly relevant problems. My specific fields of interest include machine learning, data science, photonics, quantum computing, computational biology, brain-computer interface and neuro-engineering. I am experienced in Python, JavaScript, Qiskit, quantum computation, and machine learning. Furthermore, I work on full-stack web application development.
Education
Master of Science in Applied Physics & Electronics
University: Jahangirnagar University
CGPA: 3.85 (First Position)
Duration: 2021-2022
Relevant Courses: Quantum Physics, Optics and Electronics, CondensedMatter Physics, Atomic and Nuclear Physics, Digital Electronics, Nano-Physics and Nano-Technology, Renewable Energy and Sustainable Development
Bachelor of Science in Computer Science & Engineering
University: American International University- Bangladesh
CGPA: 3.21
Duration: 2014-2018
Relevant Courses: Artificial Intelligence, Computer Vision and Pattern Recognition, Data Structure, Algorithms, Computer Organization and Architecture, Human-Computer Interaction, Introduction to Programming Language (C, C++), Object Oriented Programming (Java, C#), Advanced Topics in Programming (JavaEE) | Digital Electronics, Microprocessor and I/O System, Electronic Device | Complex Variable, Laplace and Z Transformation | Matrices, Vectors and Fourier Analysis | Research Methodology
Experience
Freelance Software Engineer
Duration: 2019 - Present
Full Stack Web Application Development
Teaching Assistant
American International University- Bangladesh
Department of Computer Science
Duration: Sep, 2017- Dec, 2017
Lab: Artificial Intelligence and Expert Systems
Publications
[Publlished] Design and analysis of sustainable green data center with hybrid energy sources, to Vol.9 No.7, July 2021 (Journal of Power and Energy Engineering)
Research and Projects
Design of a High-Resolution Optoelectronic Visual Prosthesis for Blind People (MS Thesis)
Python Biophysics Photonics Retinal prostheses are implantable devices that aim to restore the vision of blind patients suffering from retinal degeneration, mainly by artificially stimulating the remaining retinal neurons. Some retinal prostheses have successfully reached the stage of clinical trials. However, these devices can only restore vision partially and remain insufficient to enable patients to conduct everyday life independently. Besides, the visual acuity of artificial vision is limited by various factors from both engineering and physiological perspectives. The objective of this research is to find out the limitations of the functionality of existing retinal neuro-prosthesis devices and to propose a framework for a new device with design and simulations based on the limitations.
Improved Detection of Cancer Cell and Tumor Using Region-Based Convolutional Neural Network from MRI Images (BS Thesis)
Python TensorFlow Machine LearningFinding the best test accuracy using one or more quantum machine learning algorithms, with or without the influence of noise.
Python Quantum Computing Machine LearningThe dataset is first be trained using traditional machine learning algorithms to figure out the best test accuracy. Then two QML algorithms VQC and QSVM are used to obtain best accuracy without the effect of noise. And finally the target is to improve the test accuracy under noisy scenario.
Covid-19 Vaccine Side Effects Prediction using Machine Learning
Python TensorFlow Machine LearningPrediction of Covid-19 Effects on Diabetes, Heart, Lung and Kidney Patients using Machine Learning
Python TensorFlow Machine LearningLine Follower Robot | Automatic Room Light Controller
Arduino Electronics RoboticsQHardware- Quantum Hardware Education Challenge under Womanium Quantum Hackathon 2022
Lecture Series Quantum Computing Quantum HardwareQHardware is a tutorial series based on quantum hardware resources for instance superconducting qubits, trapped ion quantum computer etc. This education material is a combination of lectures, slides, jupyter notebooks, quizzes, assignments etc. The resources contain step by step procedures to learn quantum hardware design and tools to design quantum processor like qiskit-metal. The learners will get knowledge on step by step processes of how hardware qubits are made. Similarities and differences between traditional processors and quantum processors are also covered.
Skills
Programming: Python, Java, SQL
Machine Learning: TensorFlow, Scikit-learn | Algorithms: Support VectorMachine, Linear Regression, Logistic Regression, K-Nearest Neighbors, Naive Bayes, Decision Tree Classifier, Random Forest Classifier, XGBoost, AdaBoost, LightGBM, Gradient Boosting Classifier, K-Means Clustering, Hierarchical Clustering, Ensemble Learning | Artificial Neural Network: Feed Forward Neural Network, Multilayer Perceptron, Binary Classification, Activation function, Optimization (Gradient Descent, Stochastic Gradient Descent, Adam, Softmax) | Convolutional Neural Networks | Feature Engineering: Feature Selection (CorrelationMatrix), Handling Missing Values, Handling Imbalanced Data (SMOTE), Feature Scaling, Encoding | Dimensionality Reduction | Hyperparameter Tuning
Data Analysis: Excel, Statistics, Data Cleaning
Quantum Computing: Qiskit, Quantum Machine Learning
Software: Anaconda, VS Code, Google Colaboratory, Git, GitHub, Gitlab, Zotero, LATEX, MS Office
Miscellaneous: Academic Research, Project Management, SDLC Lifecycle, Design Pattern
Language: Strong reading, writing, speaking and listening competencies in English and Bangla
Miscellaneous Experience
Short Courses
2022 - 2023: Qubit by Qubit’s Introduction to Quantum Computing by The Coding School
2022 - 2023: QCourse511-2 Graduate Course on Quantum Computing and Programming by QWorld and Faculty of Computing, University of Latvia
2022: Summer of Quantum Short Course by LPS Qubit Collaboratory
2021: Qiskit Global Summer School 2021: Quantum Machine Learning by IBM Quantum (Certificate of Quantum Excellence)
2022: QWorld Summer School 2021 on Quantum Computing and Programming (QSilver and QBronze Diploma)
2020 - 2023: Machine Learning Specialization (Stanford Online) | Deep Learning Specialization (DeepLearning.AI) | Google Data Analytics Professional Certificate | Google IT Automation with Python Professional Certificate | Python for Everybody Specialization (Coursera) | Deep Learning using TensorFlow (IBM) | Computational Neuroscience (Coursera) | AI for Medicine (Coursera) | Genomic Data Science Specialization (Coursera)
Hackathon and Contest
2022: Qiskit Fall Fest Kolkata Chapter 2022 and Hackathon (QML) |Womanium Quantum Hackathon 2022 (QWorld Quantum Hardware Education Challenge) | QC Hack 2022, Bootcamp and Hackathon (IBM Quantum Challenge Category)
2021: IBM Quantum Challenge Fall 2021 | IBM Quantum Challenge Africa 2021
Training
2022: Entrepreneurship Capacity Development Training for Fresh Engineers, Engineering Staff College, Bangladesh | The Institution of Engineers, Bangladesh.
2021: GoLang Coding BootCamp, Bangladesh Copyright Office
2019: Mobile Application Development- Android, BASIS Institute of Technology and Management (BITM)
Contact