Lanza Christian

Date(From – To)

May 2017 – Feb 2018

Type of Business/Sector

Software engineer Jr./AI field

Occupational Field

Data labeler / Data Analyst at EvoVision B.V.

• Mapscape BV

Main duties and resposibilities

Activities performed

• Image data quality managing
• Worked on Machine Learning software for generation of datasets for automotive applications.
• Improvisation of datasets with automated and manual annotation.
• Research and Study of new Deep Learning White Papers.

I worked in AI field and I learned Machine learning and Deep Learning basics, tensorflow implementation of a CNN using Keras API.I learned differences between unsupervised learning and supervised learning (regression and Classification problem).

Date(From – To)

Mar 2018 – Gen 2022

Type of Business/Sector

Software engineer Jr./AI field

Occupational Field

Data labeler / Data Analyst at Navinfo Europe

Main duties and resposibilities

Activities performed

• In the Data pipeline process developing extra features for a labeling software using OpenCV library in C++
• Labeling manually datasets for supervised learning training
• Debug and bugfix part of the code in c++
• Develop of interface in SSH using "dialog" to support internal procedures.
• Generation of new image data set for neural network training
• Data processing with command line procedures.
• Image data quality managing
• Training for Chinese colleagues on our products and tools
• Implementation of Docker containers for data processing software.

Projects

• In the The NavInfo Europe Advanced Research Lab Departments in a project for building high-definition maps that cover China's highways and large city streets
• In the “AI-Powered Anonymization” for Anonymization of faces and license plates that are included in visual data to make meaningful use of your collected data without risking non-compliance with privacy laws such as GDPR, CCPA, and APPI.

Date(From – To)

May 2017 – Feb 2018

Type of Business/Sector

Software engineer Jr./AI field

Occupational Field

Data labeler / Data Analyst at EvoVision B.V.

• Mapscape BV

Main duties and resposibilities

Activities performed

• Image data quality managing
• Worked on Machine Learning software for generation of datasets for automotive applications.
• Improvisation of datasets with automated and manual annotation.
• Research and Study of new Deep Learning White Papers.

I worked in AI field and I learned Machine learning and Deep Learning basics, tensorflow implementation of a CNN using Keras API.I learned differences between unsupervised learning and supervised learning (regression and Classification problem).

Date(From – To)

Mar 2018 – Gen 2022

Type of Business/Sector

Software engineer Jr./AI field

Occupational Field

Data labeler / Data Analyst at Navinfo Europe

Main duties and resposibilities

Activities performed

• In the Data pipeline process developing extra features for a labeling software using OpenCV library in C++
• Labeling manually datasets for supervised learning training
• Debug and bugfix part of the code in c++
• Develop of interface in SSH using "dialog" to support internal procedures.
• Generation of new image data set for neural network training
• Data processing with command line procedures.
• Image data quality managing
• Training for Chinese colleagues on our products and tools
• Implementation of Docker containers for data processing software.

Projects

• In the The NavInfo Europe Advanced Research Lab Departments in a project for building high-definition maps that cover China's highways and large city streets
• In the “AI-Powered Anonymization” for Anonymization of faces and license plates that are included in visual data to make meaningful use of your collected data without risking non-compliance with privacy laws such as GDPR, CCPA, and APPI.

Indirizzo “Informatica”: Programmazione JAVA, C, C++, PHP, HTML, DataBase, Entità relazionali.

Qualification Achieved

“Computer Expert” Diploma