Trung Nghia Huynh

Ho Chi Minh, Vietnam

033******* adwmop@r.postjobfree.com

• Knowledge Data Structures, Algorithms, OOP, Machine Learning (Deep Learning, Reinforcement Learning), Computer Vision (2D/ 3D detection, Tracking, Classification, Segmentation, 3D Reconstruction & Point Cloud (LiDAR))

• EDA Plot-ly, Power-bi

• Prog. Languages Python, CUDA, Cython, HTML, CSS.

• Frameworks PyTorch, Keras/ TensorFlow, OpenCV, Open3D, NumPy, SciPy, Pandas, Scikit- learn, Matplotlib, Flask.

• Embedding TensorRT, Tensorflow-lite, Raspberry pi 3

• Tools VS Code, PyCharm, git.

• Data Databricks, MongoDB

1. Energy Savings With HVAC System. FPT Software Sep 2022 - Dec 2022 2. Employee Churn Prediction. FPT Software Jan 2022 - Now 3. Machine Learning Operations (ML Ops). FPT Software Jan 2022 - Now 4. Insurance Prediction Using ML. FPT Software Mar 2019 - Feb 2020 - Feb 2020 SKILLS

WORK EXPERIENCE

Data Scientist, AI Engineer, Optimization

• Using IOT hub to collect data from Iot-Sensors.

• Find out which feature affects the power handling function.

• Build optimization function to choose the best input HVAC Temperature-Setpoint.

• Fore-casting Co2, outside temperature to find next time setting.

• Deploy model using Azure Machine Learning.

• Automation pipelines using MLoop.

Keywords: Demand Forecasting, Temperature Forecasting, HVAC, IOT Hub Data Scientist, AI Engineer, Data Analyst

• Collect employee information.

• Using Databricks to build data pipeline and data collection.

• Feature selection and EDA.

• Training and testing model ML to evaluate the employee churn/not-churn.

• Reranking model create.

• Backtesting model by month.

• MLOOP building to complete: Data-Pipeline => ML-Model => Model-Explanation. Keywords: Churn Prediction, Catboost, Xgboost, Re-Ranking, Model Explanation, Mlflow, DataBricks, Mloop Data Scientist, AI Engineer, Data Analyst, MLoop Design

• Build Data/Model Management

• Data/Model Monitoring

• Deployment/ Severing

Note: This is important project, the Goal of my start-up Keywords: Churn Prediction, Cat-boost, Xgboost, Re-Ranking, Model Explanation, Ml-flow, DataBricks, Ml-oop Data Scientist, AI Engineer

• Collect user information contained in the contract

• Feature collection from the collected data see which fields are important

• Training and testing model ML to evaluate which contracts are accepted/rejected https://www.linkedin.com/in/huynh-trung-nghia-631817156 5. Recommendation System In Social Network. FPT Software Mar 2019 - Feb 2020 6. Quality Inspection In Manufacturing Using ML. FPT Software Mar 2020 - Sep 2020 7. Point Cloud Segmentation Using Lidar. FPT Software Feb 2020 - Dec 2021 Universal Equivariant PointNet-like MLPs and Group Equivariant CNNs for 3D Point Clouds

2020 - 2021

USPTO Pattern for Universal Equivariant PointNet-like MLPs and Group Equivariant CNNs for 3D Point Clouds

2021

Deep learning specifications Certificates by DeepLearning.AI, Coursera 2018-2019 Natural Language Processing Specializationby DeepLearning.AI, Coursera 2018-2019 Reinforcement Learning Specialization by UNIVERSITY OF ALBERTA, Coursera 2018-2019 Quy Nhon University Oct 2014 - May 2018

Keywords: Insurance Prediction, Machine Learning for Insurance, Decision Tree, Linear Regression. Data Scientist, AI Engineer

• Collect product purchase data such as time, product type, quantity.

• Analyze the relationship between users by constructing a graph NET based on product recommendations suitable for new users.

Keywords: Recommendation, Graph Net, Neo4j

Data Scientist, AI Engineer

• Collect and analyze defects from production processes

• Build a system to help identify errors in each process

• Build recommender systems or help workers evaluate output Keywords: Manufacturing, Linux, CUDA, PyTorch, TensorRT, Embedded Systems Data Scientist, AI Engineer

• Data collect and data preprocessing from 3D lidar camera

• Build model to classify point cloud into classes using CNN

• Training and testing model with our dataset/public dataset

• Rebuild Equivariant models.

Keywords: 3D Object Detection, LiDAR, Linux, CUDA, TensorFlow, PyTorch PUBLICATIONS

Huynh Trung Nghia, Phan Cong Binh, Tuan Anh Le, Phong Xuan Nguyen, Thieu Vo. PATTERN

CERTIFICATIONS

EDUCATION

Major: Applied Mathematics

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