Hoc Huynh

I am a developer with 15+ years of broad-based experience in building software/web and data-intensive applications, overcoming complex architectural and scalability issues in various industries. Proficient in data processing and scripting languages such as Python and Java. I can design, develop, test, and deploy highly adaptable and diverse services to translate business and functional requirements into substantial deliverables.

From March/22 - Now: Internship at Torus AI (Toulouse/France)

I am working as a mathematician and computer scientist with the R&D team on AI modules and applications for healthcare, especially in dermatology. My majors are: performing data labelling, hyper-parameter tuning to optimize the accuracy and loss; building AI modules for dermatology; creating predictive models for segmentation of AI dermatology modules; adopting statistics to validate the performances of proposed models compared with other predictions.

From 2019-2023: Engineering Research Scientist  Zlin, Czech Republic Tomas Bata University

As a PhD student, my major is analysing significant factors that might impact prediction software projects' effort estimation, employing regression and deep learning models to improve software effort estimation.
 

From 2017-2019 Developer at Capgemini, Ho Chi Minh City, Vietnam
Guidewire projects: Developing and maintaining insurance services for US, Japan, and France clients based on the Guidewire platform.
From 2014-2017 Developer at Capgemini, Ho Chi Minh City, Vietnam
Salesforce Projects: Developing and maintaining web applications of loan insurance that provide all services to manage applications and applicants’ claims. They were built on Salesforce technology (SFDC) with three different systems: Administration, Web Creditor, and Web Client.
From 2002-2014 GIS Developer Ho Chi Minh City, Vietnam
As a developer at Ditagis, my majors developed and maintained GIS-based websites; digitized spatial data based on Arcview/ArcGIS, and Google Earth.

My most relevant training includes the following:

1. Regression models (ID: 3K87JAE2TQF9, Coursera, 2020)
2. Computer vision and deep learning (Udemy, 2022)
3. Fundamental of GIS
4. Spatial database