TL;DR: a master’s student who is interested in deep learning system optimization for mobile devices.
I am a master’s student in the department of computer science and engineering at Seoul National University. I received my bachelor degree in computer science from POSTECH.
Now, I am interested in accelerating computation heavy systems with software optimization for heterogeneous mobile devices. Currently, my main focus is on deep learning but I don’t limit my interest to it. I strongly believe that cross-domain optimization from silicon to human is essential for deep learning (or any other areas) to penetrate our daily lives.
- Machine Learning Engineer @ Team ISLAND, Aug 2020 ~ Sep 2020
Worked on building a lightweight 3D pose estimation model via knowledge distillation. To distill the knowledge from the regression-based teacher model, conducted label smoothing based on a gaussian filter to the output of the teacher model and jointly trained the student model with both the teacher model and the ground truth.
- Software Engineer (Outsourced work) @ Richbeam, May 2020 ~ July 2020
Migrated the complex backend system consisting of Flask, Tornado, and gRPC servers, which was already deployed on the private on-premise server, to the AWS Cloud with load balancing techniques.
- Software Engineer (Full-time) @ Cryptoquant, Sep 2019 ~ Mar 2020
Worked on the whole infrastructure used for on-chain analysis and data provisioning. The system involves PostgreSQL, Flask, Redis, and MongoDB. 99.997% of the availability was achieved in the designed system, which is crucial in the financial field. Also, participated in an anti-money laundering system, which helped to solve the biggest sexual abuse “N-th room” in Korea.
- CTO & Co-Founder @ DSigner, Sep 2018 ~ Sep 2019
Developed a font navigation system to help designers to explore the proper font in a huge amount of typography. Auto-encoder-based embedding was engineered with the expert knowledge of typeface. Also, worked on backend servers using Flask, MySQL, and MongoDB. Interviewed in YC 2020 Spring Batch.
- Research Intern @ HodooAI, Apr 2018 ~ Aug 2018
Researched transferring makeup between non-labeled face images. By matching the corresponding regions with local embeddings and applying the color transfer techniques on those matches, successfully transferred makeup without any guidance from humans.
- Software Engineer Intern @ byclip, Jun 2017 ~ Aug 2017
Developed a chatbot management system with MongoDB and Express, and developed an interactive item-based recommender system for restaurants.
- Hyungkyu Ham*, Hyunuk Cho*, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim. Near-Data Processing in Memory Expander for DNN Acceleration on GPUs. IEEE Computer Architecture Letters (CAL) [*: Equal contribution], Nov 21. (Link)
I was a finalist of International Science and Engineering Fair sponsored by Intel (Intel ISEF 2015).
I deejay house music, especially for deep house and tech house.
If you are interested in working with me, please contact me via email widiba03304 at gmail dot com.
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