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JAFARZADE AMIN
認證
데이터/AI · 신입
As a former winner of mathematical and informatics olympiads, I am willing to start internship and apply my problem-solving skills in a practical professional context.
經歷
I conducted intensive training camps to the junior olympiad team of Azerbaijan along with sharing strong expertise in the fields of Combinatorics and Algebra
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As an AI Engineer, I developed and experimented with various machine learning architectures to assess users' language proficiency through semantic and syntactic analysis. Additionally, I replicated different Transformer architectures to enhance the summarization capabilities of existing models.
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Computer Vision Research, Deep Learning Enginner
KAIST, Visual Medial Lab · 정규직
2023년 6월 - 2023년 10월 · 5개월
Link to Lab's website: https://vml.kaist.ac.kr/home As a computer vision researcher, I was in charge of applying new state of the art diffusion models to existing reference based sketch extraction with attention mechanism. Along with that, I also trained models using GAN (Generative Adversarial Networks), to see the limitations of GAN.
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學歷
活動
最近活動
獲獎 6
證照 2
專案 6
프로젝트
Stable Diffusion
2024년 1월 - 2024년 2월 · 2개월
I implemented Latent Diffusion Models (LDM) capable of both image-to-image and text-to-image generation. Additionally, I utilized various schedulers and integrated in-model techniques (such as DDPM, DDIM). Moreover, I implemented a U-Net architecture integrated with Cross-Attention layers to enable
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Internal Video Inpainting by Implicit Long‑range Propagation
2024년 2월 - 현재 · 2년
We are replicating the model described in the paper and improving model accuracy by exploring various network architectures, such as Spatial Pyramid Pooling, Atrous Convolutions, and Encoder-Decoder structures.
프로젝트
Classifying images of Clothes
Myself · 2023년 7월 - 2023년 7월 · 1개월
Using convolutional neural network(CNN) PyTorch, I classified images of different clothes on 10 different image classes.
프로젝트
Binary Classification
Myself · 2023년 7월 - 2023년 7월 · 1개월
Binary classification of given data using deep neural network and ReLU non-linearity. 98% accuracy
자격증
Supervised Machine Learning: Regression and Classification
2023년 4월
I finished the Supervised Machine Learning: Classification and Regression, course from coursera successfully