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라만민하즈
Third-year student in Computer Science major looking for career interests in the field of AI
경력
Serving as a TA for the courses "Western Civilization Since the Middle Ages" and "Environmentalism: A Historical Survey" offered by Professor Michael S. Pak
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An LLM research project supervised by Prof. Alice Oh and Prof. James Thorne at KAIST – NLP research on low-resource langauges – Proposing prompting techniques in high-resource-low-resource bilingual settings – Translating the established datasets into Bengali and benchmarking in GPT 3.5 and GPT 4 – Observing abnormal behavior of ChatGPT that arises due to hallucination, memorization etc.
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- Helping international full-time and exchange students and researchers with administrative procedures at KAIST - Guiding the immigration application procedures at the Global Talent Visa Center, Daejeon Immigration Office - Providing assistance in arranging welfare programs such as exchange student program, international student culture showcase programs named KAIST ONE etc.
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HSS062 Under the Lens: Football & Its History, KAIST Spring 2022, Fall 2022, Spring 2023 - Instructing a humanities/leadership III class for freshman students that is about the history of football, football tactics, and its social and economic impact in the modern era - Taking feedback and comments from students to help them build their own idea and perspectives on football
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학력
I completed the 11-12th grades of high school at this institution. Due to COVID-19, the central board high school graduation exam known as HSC in Bangladesh, had been postponed for some months. Due to that I already started my freshman year at KAIST in fall 2021 without finishing high school. I formally graduated from high school on March, 2022.
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활동
최근 활동
참가/수상 4
자격증 2
프로젝트 3
뉴스/미디어 2
자격증
Deep Learning Specialization
2023년 8월
– Neural Network implementation from scratch and advanced model implementation in Tensorflow, hyperparameter tunining, regularization, and optimization techniques - – Convolutional Neural Networks: LeNet-5, AlexNet, VGG-16, ResNets, Residual Neural Network, Inception Network, MobileNet, EfficientNet, Localization & Detection Techniques, YOLO Algorithm, U-NET, Siamese Network, Neural Style Transfer – Sequence Models: Recurrent Neural Network, GRU, LSTM, Bidirectional RNN, Word2Vec, GloVe, seq2seq, Beam Search, Attention Model, Transformer https://coursera.org/share/4ccec80846c7c94bd591f18bf0c35b6a
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프로젝트
Detecting Fake Import Declarations
2023년 4월 - 2023년 6월
– Analyzed fake import declarations data provided by Korea Customs Service – Built a machine learning model for detecting future fake import products – Provided 91.74% accuracy in detecting fake import declarations – Technology Used: Python, Scikit-learn, Pandas
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대한민국 관세청
프로젝트
Implementing Perceptron For Spam Classification
2023년 5월 - 2023년 6월
– Introduced Perceptron as a binary classifier that should also be able to detect spam texts – Visualized real-time how perception works in 2D dimensions – Compared the built model with other ML architectures – Technology Used : Python, Scikit-learn, Pandas, Matplotlib, IPyWidgets
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프로젝트
ChatGPT Voices: Can ChatGPT Reason in Bengali?
2023년 3월 - 2023년 5월
– Explored the reasoning capabilities of ChatGPT(mainly GPT 3.5) in Bengali – Increased Accuracy of Bengali from 30% to 59% by proposing our back-translation method – Technology Used: Python, OpenAI API
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깜란하산님과 함께 참여함.
참가/수상
Threat Hunt
2023년 3월
I found a classified security vulnerability in the KAIST system. For this I was awarded in the Introduction to Information Security course taught at KAIST. https://bit.ly/3KsXBtS
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CS348 Introduction to Information Security
