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fast-mri's Introduction

πŸ˜‡ Hi there

πŸ‘‹ My name is Mindong Choi
πŸ—οΈ SNU CEE & IMAI
πŸ₯° Into every field of AI
🌱 AI generalist with web development skills


πŸ“– Career and Academic Experience

Company / Lab / School Position Period
Togglecampus AI + Full Stack Developer 2023-09 β€” now
KT Convergence Technology Institute Research Intern 2023-07 β€” 2023-09
VIP Lab, SNU GSDS Intern 2022-12 β€” 2023-03
SNU Civil Environmental Engineering Undergraduate 2018-02 β€” now
SNU IMAI Undergraduate (Double major) 2023-03 β€” now


πŸ’» Tech Stacks

Languages

python typescript kotlin

ML & DL Frameworks

pytorch tensorflow

DB & Cloud

mongo_db google_cloud vercel elastic_search

IDE & OS & Ops

linux docker mac_os ubuntu

docker intellij vscode

React

react NextJS redux react_query

styled_component tailwind_css radix_ui

App development

react_native flutter electron

Backend

fast_api spring



πŸ”₯Projects


Project Description
A client-side rendering service that evaluates squat posture using seven different labels. Developed a flow for classifying real-time pose video data from webcam input on a browser using the MediaPipe framework. #BrowserAI #VideoAI #Mediapipe #AIaaS
MRI Reconstruction AI for Fast MRI Challenge 3rd place winner in the fastMRI 2022, the largest AI modeling competition at SNU. Built a model combining E2E-Varnet and RCAN. Trained and performed inference of large-size AI models on an 8GB GPU by applying various model memory optimization techniques. #MemorySaving #Pytorch
Change Detection & Climate Detection AI for PlanetA Challenge 1st place winner in the PlanetA 2022, an AI modeling competition for solving natural science problems at SNU. Built a multi-modal siamese nested unet to solve the change detection problem. Applied a UNet++ model to detect atmospheric rivers.#AIModeling
Recommendation & NLP based E-Commerce Website Responsible for web development of an AIaaS demo site for fashion item recommendation and review summarization. Developed the front-end of the site using React JS, the back-end using MongoDB and Express, and built a model server with FastAPI. #AIaaS #WebDevelopment
Algorithm for Locating Elderly Leisure Facilities based on Graphs Selection of the optimal locations for elderly leisure facilities in Gwanak-gu. Constructed a pedestrian network and embedded various variables. Designed an objective function using matrix operations and used a genetic algorithm to determine the optimal location. #Graph #GeneticAlgorithm #MCLP
AI Employee: RAG-based AI chatbot system designed for welfare services Project undertaken during an internship at KT Convergence Technology Institute's AI Service Planning Department. Developed an RAG-based multiturn chatbot system that recommends services and answers questions based on user inquiries about welfare services. #RAG #ChatBot #WebDev
Lane in Night: Research for robust lane detection during night time using STM Final project for a Transportation Planning and Laboratory class focused on lane detection AI models. Used a modified STM model for lane segmentation. #LaneDetection #STM #ImageSegmentation
Optimizing Waiting Times for Seoul Taxi Service for the Disabled Using Multi Attribute Weight Model Project submitted for an undergraduate research project, incorporating various features and the K-Means algorithm for optimizing taxi-user assignments, inclusive of numerous experiments for enhancement #Optimization #TaxiMatching #TransportationPlanning #Kuhn-Munkres


Git farm

fast-mri's People

Contributors

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Stargazers

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Watchers

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Forkers

ngthanhtin

fast-mri's Issues

Dataset?

Hi @orange-fritters ,
Thank you for the public code. I learned a lot from your skills.
So, could you please share the dataset in order for me to learn and test the performance of the network?
It would be really great!!!

Thank you,
Tin

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