I am a senior developer with extensive experience in backend and deep learning development. I have primarily worked in startup companies in the past and have a strong interest in new technologies and acquiring expertise. I have a keen ability to learn and deep learning is my primary focus and passion.
Hobby: Movies, music, skiing, camping.
October 2021 - Present
KYC Automatic Identity Verification:
Implemented KYC during user registration, integrated government z21 identity verification service RESTful API, and Jumio facial recognition service RESTful API. Designed database tables and automated the KYC process to reduce manual verification time for the customer service department.
Designed a foundational workflow framework to accommodate diverse steps and parameters for each strategy. Planned SQL and NoSQL tables to facilitate the development of other strategies.
AI Research for Finance:
Conducting ongoing research on using deep learning to estimate future trends.
Generated various technical indicators and employed XGBoost, Random Forest for feature selection.
Explored various neural networks such as TCN, TFT, DLinear, FEDformer, Autoformer, TimesNet, PatchTST, Transformer, LLM, Time-LLM, etc..
Explored different papers and implemented key component such as Time2Vec, se-LSTM, GatedResidualNetwork, VariableSelection layers or blocks, etc..
Explored various connectivity methods and implementedlike Inception, Residual connect, SE blocks, etc..
Experimented with autoencoder, GAN, and different combinations.
Develop and fine-tune small version of LLM like GPT to training time-series data.
New data augmentation method for time series data
Goal:
short-term
AI indicator on Uniswap V3
Result: APR 300% ~ 500%
long-term (training with Reinforce Learning)
AI trader
May 2016 - October 2021
Abaci/KekkAI:
Grey Goose:
Common process for the following projects: Collect image data and clean it, try various image pre-processing techniques such as distortion, rotation, flipping, etc.
Wafer Defect Classification and Detection:
Gas Meter Reading Detection:
PCB Defect Detection:
Skills: Golang, Python, Gin, Flask, Redis, SQLite, PostgreSQL, OpenCV , OpenVINO, Caffe, TensorFlow, Keras, Deep Learning/Machine Learning, Docker, Git, DevOps, CI/CD
March 2013 - May 2016
Skills: Java, C/C++, Docker, Linux, SDN, Network Protocols, OpenFlow
October 2012 - March 2013
2010 - 2012
2005 - 2010
I am a senior developer with extensive experience in backend and deep learning development. I have primarily worked in startup companies in the past and have a strong interest in new technologies and acquiring expertise. I have a keen ability to learn and deep learning is my primary focus and passion.
Hobby: Movies, music, skiing, camping.
October 2021 - Present
KYC Automatic Identity Verification:
Implemented KYC during user registration, integrated government z21 identity verification service RESTful API, and Jumio facial recognition service RESTful API. Designed database tables and automated the KYC process to reduce manual verification time for the customer service department.
Designed a foundational workflow framework to accommodate diverse steps and parameters for each strategy. Planned SQL and NoSQL tables to facilitate the development of other strategies.
AI Research for Finance:
Conducting ongoing research on using deep learning to estimate future trends.
Generated various technical indicators and employed XGBoost, Random Forest for feature selection.
Explored various neural networks such as TCN, TFT, DLinear, FEDformer, Autoformer, TimesNet, PatchTST, Transformer, LLM, Time-LLM, etc..
Explored different papers and implemented key component such as Time2Vec, se-LSTM, GatedResidualNetwork, VariableSelection layers or blocks, etc..
Explored various connectivity methods and implementedlike Inception, Residual connect, SE blocks, etc..
Experimented with autoencoder, GAN, and different combinations.
Develop and fine-tune small version of LLM like GPT to training time-series data.
New data augmentation method for time series data
Goal:
short-term
AI indicator on Uniswap V3
Result: APR 300% ~ 500%
long-term (training with Reinforce Learning)
AI trader
May 2016 - October 2021
Abaci/KekkAI:
Grey Goose:
Common process for the following projects: Collect image data and clean it, try various image pre-processing techniques such as distortion, rotation, flipping, etc.
Wafer Defect Classification and Detection:
Gas Meter Reading Detection:
PCB Defect Detection:
Skills: Golang, Python, Gin, Flask, Redis, SQLite, PostgreSQL, OpenCV , OpenVINO, Caffe, TensorFlow, Keras, Deep Learning/Machine Learning, Docker, Git, DevOps, CI/CD
March 2013 - May 2016
Skills: Java, C/C++, Docker, Linux, SDN, Network Protocols, OpenFlow
October 2012 - March 2013
2010 - 2012
2005 - 2010