Sebine Francis

Bis 2022, Master Thesis - Student, ZEISS

Bis 2022, MSc. Mechatronics, Universität Siegen

Aalen, Deutschland

Über mich

Mechatronics graduate interested in Machine Learning, Robotics and Software Development. Experienced in software development in multiple programming languages, developing machine learning based solutions for complex data in the fields of robotics, computer vision, automation, and autonomous driving. Fast learner and adaptable to complex task requirements. Looking to be a part of something where I can apply, learn and grow my skills of Artificial Intelligence, Software development, and Mechatronics. 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Python | Java | C++ | Tensorflow | PyTorch | ROS | OpenCV | Open3D | Numpy | Pandas | Matplotlib | Git | SQL | Sklearn | Spring 𝐒𝐤𝐢𝐥𝐥𝐬: Machine Learning | Deep Learning | Computer Vision | CAD | REST APIs | WebServices | Data Visualization | 3D Reconstruction | Agile | MLOps

Fähigkeiten und Kenntnisse

Machine Learning
Deep learning
Computer Vision
Data Science
Java
C/C++
Python
SQL
JavaScript
HTML
CSS
REST
Git
PyTorch
TensorFlow
Open3D
OpenCV
Artificial intelligence
MatLab
Robot Operating System (ROS)
Robotics
Microsoft Azure
UNIX
CAD
Mechatronics
Web Services
SVN
Software Development
Web applications
Information technology
Oracle SQL
IT Application Management
Matplotlib
Clearcase
Microsoft Word
PowerPoint
Computer
Software
Anwendung

Werdegang

Berufserfahrung von Sebine Francis

  • 7 Monate, Feb. 2022 - Aug. 2022

    Master Thesis - Student

    ZEISS

    - 3D Computer Vision, 3D Geometrical Deep Learning, AI in Quality Control - CAD, Pose Estimation, Object detection - Python, C++, Open3D, PyTorch, OpenCV, 3D Data- 3D Computer Vision, 3D Geometrical Deep Learning, AI in Quality Control - CAD, Pose Estimation, Object detection - Python, C++, Open3D, PyTorch, OpenCV, 3D Data Skills: Open3D · OpenCV · Computer Vision · Computer-Aided Design (CAD) · Python (Programming Language) · C++ · Deep Learning · Machine Learning

  • 3 Monate, Nov. 2021 - Jan. 2022

    Machine Learning Engineer

    ZEISS

    - Research on Artificial Intelligence > Machine Learning > Deep Learning - Hand Action Recognition using LSTM Neural Network - Model Based Object Tracking : Extension of algorithm to stereo camera setup - Object detection, Pose estimation, Scene understanding, Action detection - Python, C++, Unix, Git, ROS

  • 2 Jahre und 5 Monate, Sep. 2015 - Jan. 2018

    Software Engineer

    IBS Software

    Java Web Application developement and integration with REST API Webservices in Airline Passenger Reservation System (PSS), to access and manage data in Oracle SQL RDBMS. Skills: Java · REST APIs · SQL · JavaScript · Cascading Style Sheets (CSS) · jQuery · Spring Framework · AngularJS · Agile Methodologies · Spring MVC · Web Applications · Oracle Database · HTML

Ausbildung von Sebine Francis

  • 3 Jahre und 11 Monate, Okt. 2018 - Aug. 2022

    MSc. Mechatronics

    Universität Siegen

    Grade: 1,9

  • 4 Jahre, Juni 2011 - Mai 2015

    Mechanical Engineering

    Mahatma Gandhi University

    Grade: 1,6

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Gut

  • Malayalam

    Muttersprache

Interessen

Cycling
Photography
Travel
Hiking

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