CV
Basics
| Name | Brilian Tafjira Nugraha |
| Label | Project Manager | Senior Machine Learning Engineer |
| [email protected] | |
| Url | https://github.com/briliantnugraha |
| Summary | An Indonesian who likes to democratize Machine Learning by experimenting it on limited/constrained devices. |
| Location | Taipei, Taiwan |
| Socials | https://www.facebook.com/brilian.t.nugraha |
Work
-
2018.11 - Current Project Manager | Senior Machine Learning Engineer
Solomon Technology Corporation
Solo AI full-stack developer of [2020 - now] Anomaly Detection, [2021 - now] OCR, and [2019 - 2022] Unknown Object Detection Tools; Edge Inference on Jetson, Hailo, and Openvino [2019 - Now], [01/2024 - now] LLM RAG tester; [2023 - now] Feature Matching main developer in the team; [2024/04 - now] develops 6D pose tracking with FoundationPose as a team leader.
- Anomaly Detection, OCR, Object Detection, Foundation Tracking, Edge Inference
Volunteer
-
2022.07 - 2022.09 Taipei, Taiwan
Education
Awards
- 2011
Best 50 rank mathematic students
UGM HIMATIKA
- 2011
Senior Division of Australian Mathematics Competition
Surya Institute
Certificates
| Neural Networks and Deep Learning | ||
| Coursera | 2018/10 |
| Convolutional Neural Network | ||
| Coursera | 2018/01 |
| Structuring Machine Learning Projects | ||
| Coursera | 2017/11 |
| Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | ||
| Coursera | 2017/11 |
| Deep Learning 101 | ||
| Big Data University | 2017/01 |
| Data Science: Deep Learning in Python | ||
| Udemy | 2017/01 |
| Data Analysis | ||
| Brainmeasures | 2016/06 |
| Python 3 Tutorial Course | ||
| SoloLearn | 2016/05 |
| Android Developer From Scratch | ||
| Udemy | 2016/05 |
Publications
-
2018 Analysis of Layer Efficiency and Layer Reduction on Pre-Trained Deep Learning Models
In 2018 IEEE International Conference on System Science and Engineering (ICSSE) , 2018
-
2017 Towards self-driving car using convolutional neural network and road lane detector
In 2017 IEEE 2nd International Conference on Automation, Cognitive Science, Optics, Micro Electro-Mechanical System, and Information Technology (ICACOMIT), 2017
-
2016 Significant preprocessing method in EEG-Based emotions classification
Journal of theoretical and applied information technology, 2016
-
2016 Real-Time Electroencephalography-Based Emotion Recognition System
International Review on Computers and Software, 2016
-
2016 Real Time Fatigue-Driver Detection from Electroencephalography Using Emotiv EPOC+
International Review on Computers and Software, 2016
-
2016 Classification of driver fatigue state based on EEG using Emotiv EPOC
Journal of theoretical and applied information technology, 2016
Skills
| Machine Learning | |
| Machine Learning | |
| Object Detection | |
| Anomaly Detection | |
| Optical Character Recognition and Detection | |
| Edge Inference | |
| Foundation Classification and Detection | |
| Large Language Model |
Languages
| Indonesian | |
| Native speaker |
| English | |
| Fluent |
| Chinese | |
| Basic |
Interests
| Machine Learning | |
| Machine Learning | |
| Machine Learning on edge devices | |
| Large Language Model | |
| Foundation machine learning on edge devices |
References
| Professor Shun-Feng Su [Master] | |
| Professor Riyanarto Sarno [Bachelor] | |
Projects
- 2017 - 2017
Deep learning for time series
Predict whether the person will click/not the ads.
- ads click time series
- 2015.12 - 2015.12
Car Plate Number and Plate Color Recognitions
Make plate number recognition and also the color of the plate (with condition that the picture left is the plate).
- Car Plate recognition
- 2015.10 - 2015.10
Alcoholic Classification
This project is used to classify the person alcoholic state to determine whether that someone is in alcoholic state or control/normal state.
- Classification