Rodolfo Giang - Senior Data Scientist

Rodolfo Giang

4.9

Select me!

Rodolfo is available for hire

Hire Now

Rodolfo Giang

4.9

Gender

Male

Address

Potong Pasir, Singapore

Language

English - Advanced

Main expertise

Data Scientists Machine Learning AI NLP Computer Vision Deep Learning AWS AWS Cloud AWS Lambda Docker Data Big Data Architects

Introduction

Rodolfo Giang is an accomplished Senior Data Scientist and Team Leader with over seven years of extensive experience in directing diverse data science, machine learning, and AI projects across various industries, including healthcare, automotive, and industrial sectors. Currently spearheading data science efforts at Evonik SEA, Rodolfo specializes in advanced machine learning models, natural language processing (NLP), and computer vision technologies, such as YOLOv8 and GPT-4ALL. Throughout his career, he has successfully managed cross-functional teams, designed and implemented scalable machine learning pipelines, and contributed to significant projects ranging from disease classification to automotive damage detection. Aside from his technical prowess, Rodolfo excels in mentoring and managing teams, collaborating with stakeholders to define project scope, and leading high-pressure projects as a Scrum Master. He possesses a robust background in deploying solutions using cloud technologies like AWS and Docker, and has developed comprehensive data architectures with MySQL, MongoDB, and big data tools such as Spark and HDFS. His passion lies in transforming complex data into actionable insights and fostering innovation through AI and machine learning across multiple domains.

Project list

Evonik SEA Project - SINGAPORE

2022

Led data science and machine learning initiatives, working with cross-functional teams across Singapore and Germany. Focused on extracting valuable insights from existing data and strategizing future data analytic procedures. Implemented and optimized cutting-edge machine learning models, including those for natural language processing, image recognition, and object detection.

Manage and mentor junior and fresher team members to become proficient data scientists. Collaborate with stakeholders, data engineers, and project managers to define project scope and requirements. Fine-tune and deploy models such as GPT-3, GPT-4ALL, and YOLOv8 for various NLP and computer vision tasks. Serve as Scrum Master, leading multiple projects under high pressure. Define data structures, storage solutions, and deploy databases using MySQL/MongoDB. Oversee the development of dashboards, business case websites, and pricing prediction projects.

Technologies: AWS (SageMaker, S3, Lambda, IAM), MLOps, Docker, SQL, MySQL, MongoDB, NLP models (GPT-3, GPT-4ALL, BERT, PhoBERT, FastText), YOLOv8, Swin Transformer, Object detection, Image classification, Label Studio, Name matching, Multi-tag classification

Automotive AI Solutions - SINGAPORE

2021 - 2022

Led a computer vision team focused on AI projects in the automotive industry, specifically in vehicle damage detection and audio classification. Developed and deployed machine learning pipelines tailored for computer vision tasks, and ensured seamless deployment on AWS services.

Built and led a 6-member computer vision team, following Scrum methodology for project management. Designed and deployed machine learning pipelines for object detection and vehicle damage detection using deep learning techniques. Worked on sound event detection and car audio classification projects. Managed deployment of models on AWS (SageMaker, Lambda, S3).

Technologies: AWS (SageMaker, S3, Lambda), YOLOv5, Mask RCNN, Detectron2, EfficientNet, SVM, Random Forest, Logistic Regression, Neural Networks, Sound event detection, MFCC, Transfer Learning

Gene Solutions - VIETNAM

2019 - 2021

Led a team of data scientists in creating disease classification models using genomic data. Designed and implemented big data pipelines for human genome analysis, automating workflows to enhance efficiency.

Managed a team of 5 members, overseeing project implementation and training. Developed disease classification models using Logistic Regression, SVM, and Random Forest. Designed parallel data pipeline architectures for big data (genomic data). Automated the system using Nextflow. Worked on CI/CD automation. Managed GPU-based applications for big data processing.

Technologies: Nextflow, CI/CD Automation, Docker, Microservices, HDFS, Spark, PySpark, Logistic Regression, SVM, Random Forest, Linux, GPU applications, Big Data tools (BigQuery, Genome data)

WonderSprout - USA

2017 - 2019

Developed innovative projects involving face recognition, age and gender prediction, and speech recognition. Created deep learning models and web applications for advanced chatbot systems using Watson Assistant.

Implemented face recognition, age and gender prediction, and speech recognition systems. Applied deep learning techniques for image and audio recognition. Designed and deployed a chatbot using Watson Assistant integrated into a web application built with Django.

Technologies: Deep Learning, Spectrogram Image, MFCC, Django, Watson Assistant (Chatbot)

Project list

Education

Expertise

Certifications