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후자예프노디르후자
I am very inquisitive and a responsible individual, constantly seeking ways of enhancing my skill set and gaining new experience.
經歷
* Enhanced the YOLO object detection model. * Researched SOTA in computer vision.
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• Conducted significant performance tweaking and optimization to boost rendering of 3D objects in a scene at once, which enhanced both performance and visual quality. • Created an interactive UI with efficient 3D object rendering using Three.js and a combination of WebGL2 and 2D context renderers using Fabric.js. • Solved asynchronous issues in WebGL2 and 2D rendering contexts, reducing memory load and latency. Used TypeScript.
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Research Assistant (RA)
Ulsan National Institute of Science and Technology
2020년 12월 - 2022년 12월 · 2년 1개월
• Implemented an algorithm that invokes dynamic path pruning during fuzzer’s runtime, with low overhead and enhanced performance. Used LLVM. • Extended Google’s Fuzzbench to include state-of-art greybox fuzzers, such as AFLGo. • Created a tool, which dynamically toggles functions to increase fuzzers’ coverage.
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Developed a ChatBot for automatic replies. Used Python and spaCy.
學歷
活動
最近活動
獲獎 1
專案 4
수상
Research in Deep Learning
2023년 10월
My paper (first author) was accepted to be presented at NeurIPS 2023 Workshop in Computer Vision.
프로젝트
Maze visualizer
2022년 4월 - 2022년 4월 · 1개월
An application visualizing major graph algorithms.
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Movie Recommendation System
2021년 3월 - 2021년 4월 · 2개월
• Developed a movie recommendation webapp on Java and Spring Boot that utilizes RESTful APIs and lets users receive recommendations for movies that match their preferences. • Built a scalable, modular application with a microservices architecture, and used Docker containerization.
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CMD2POSE
Created a hand pose estimation model.
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Task Manager
CRUD Task Manager app with Authentication using DJango.