Ing. Abdullah Shafin

Role is divided into 2 key areas. As a senior expert, I'm responsible for pushing cutting-edge solutions from conception to production in Crop Science. This involves working with stakeholders, product owners and developers in a multi-disciplinary and agile setup. As a product owner, my responsibilities include ideation and development of an internal platform to deliver AI-based computer vision algorithms rapidly and at scale.

Working on the position of Image Analyst and contributing to the team in the fields of Computer Vision and Deep Learning projects.

The topic is “Estimation Approaches to Predict Powertrain States using Machine Learning Algorithms.” Working on Elastic Nets, Polynomial Regression, Neural Networks for time-series prediction (MATLAB) and LSTMs (TensorFlow/Keras).

Code refactoring of a Deep Learning based project using Python and Matlab with Bosch Center for Artificial Intelligence (CR/PJ-AI-R) in Renningen.

Development of tools for visualization, manipulation and ground truth generation based on Camera and LIDAR (Velodyne) data using Qt, OpenCV, PCL and VTK on Ubuntu. (Project in collaboration with Bosch)

Internship on the topic "Machine Learning für das automatisierte Fahren." Worked on Pedestrian Intention Recognition for an Autonomous Vehicle using LIDAR and Stereo Image data. Different state-of-the-art deep learning approaches were tested, optimized and compared for this task using Theano/Lasagne.

Computer Vision and Machine/Deep Learning