About Me
Professional Summary
Skills & Tools
Python | PyTorch | OpenVINO
Git | Github | PyTest | Tox | Linux
Software development | Architecture | Open-Source
Deep Learning | Computer Vision | Semi & Weakly Supervised Learning
Korean: Native | English: Business working proficiency
Work Experience
4 years 6 months
AI Software Engineer
Intel (2021.06 - 2024.11) | Full-Time
Developed and optimized AI solutions at Intel, focusing on computer vision, Semi-Supervised Learning, and scalable frameworks like OpenVINO™ Training Extensions, while leading global collaborations and product releases.
Software Engineer
Intel (2020.05 - 2021.05) | Contract
Validated deep learning frameworks and APIs, designed and executed end-to-end tests, and contributed to algorithm improvements, including entropy-based sampling for dataset management frameworks.
Education
Soongsil University
B.S. in Mathematics & Software
Graduated with a Bachelor of Science in Mathematics and Software.
Projects
OpenVINO™ Training Extensions
A low-code framework for computer vision, enabling seamless workflows from training to deployment. With user-friendly CLI, Python APIs, and automated processes for tasks like model training and optimization, it simplifies the creation and fine-tuning of high-performance models.
Technologies: PyTorch, CUDA, Python, Semi-Supervised Learning
Intel® Geti™
Intel® Geti™ software eases laborious data upload, labeling, model training, retraining, and optimization tasks across the computer vision model development process.
Technologies: PyTorch, Python, Computer Vision, kubernetes
Anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Technologies: PyTorch, Python, Computer Vision
Recommendations
"Harim's versatility and adaptability are remarkable—he's the ultimate Swiss Army knife who delivers complete, production-ready pipelines with impressive speed. His rare combination of technical excellence, rapid learning ability, and outstanding interpersonal skills makes him an invaluable asset to any team."
"Harim's leadership in the OTX2.0 release was exceptional—he combined technical expertise, proactive communication, and a user-centric approach to create a product that resonated with its audience. His ability to anticipate client needs and foster collaboration makes him an invaluable team member."
Blog
Torch 모델부터 OpenVINO모델까지: OTX로 간단하게 컴퓨터 비전 모델 완성하기
AI 기술이 발전하면서, 이제 누구나 자신만의 딥러닝 모델을 만들 수 있는 시대가 되었습니다. 하지만 여전히 많은 사람들에게 AI 모델 학습은 높은 기술 장벽으로 다가옵니다.
Read More딥러닝 (8) - [RL1] 강화학습(Reinforcement Learning)이란?
해당 포스팅은 '시작하세요! 텐서플로 2.0 프로그래밍'책의 흐름을 따라가면서, 책 이외에 검색 및 다양한 자료들을 통해 공부하면서 정리한 내용의 포스팅입니다.
Read More파이썬으로 구현하는 자료구조 요약 정리 - 배열(Array), 큐(Queue), Stack, Linked List..
해당 내용은 코딩 테스트 및 기술 면접을 대비하기 위해서 자료구조를 공부하며 정리한 내용입니다.
Read MoreContact
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