Core Competency
- Keen understanding of AI, ML expected from an entry level ML engineer.
- Strong self-motivation to learn something new
- Strong emotional and cognitive empathy: Ability to converse with people from different educational, social and cultural background
Skills
[ Languages ] Korean(Native), English(Fluent), Python3(intermediate), HTML(elementary), CSS(elementary), Javascript(elementary), Kotlin(elementary), C/C++(elementary)
[ Modules ] Pandas, Seaborn, Tensorflow, Pytorch, Optuna, Mediapipe, OpenCV
[ Conversations ] Cognitive empathy affectively that comes in handy when pin pointing the underlying cause of miscommunication
Training
2021.03 - 2021.09
Data Engineering, ML/AI Developer Course
μ½λμ€ν
μ΄μΈ (Code States)
πAI Bootcamp
Following list contains subjects I covered during the course period and is not limited to the course curriculum:
- Data analysis using pandas, seaborn and other data processing, visualization modules
- Data treatment, modeling, hyper-parameter tuning with sklearn, keras, pytorch, and optuna
- CLI, environment setting, project handling
- Web application with Flask, SQLAlchemy, HTML, CSS, and javascript
- Deep learning models including CNN, LSTM, GAN, modules in NLP and motion analysis
- Learn to figure out what I don't know, to overcome the fear of presenting in-progress results, and to come back after failures
2014.03 - 2014.05
Music Industry, Acoustics Course
MFK (Apple Authorized Training Provider)
πApple Logic Pro X Certification Course
- Digital Audio Processing on Apple Logic Pro X
- Audio recording and enhancement applications
- Detailed engineering background covering the technology used in music industry