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Manager Computer Vision and Machine Learning at BASF
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have a keen interest in Machine learning and particularly in Deep Learning. I want to develop my knowledge and do research work in Machine Learning. I am looking forward to use Machine Learning in fields of Computer Vision, Robotics, Automotive Engineering, Biomedical Engineering etc.
TU Dortmund University
Master’s Degree, Automation and Robotics
January 1, 2014 – January 1, 2017
National University of Sciences and Technology (NUST)
Bachelor of Engineering (BE), Mechatronics
January 1, 2008 – January 1, 2012
BASF
Manager Computer Vision and Machine Learning
February 1, 2018 – Present
Ludwigshafen
Robert Bosch Corporate Research
Master Thesis Student
December 1, 2016 – May 1, 2017
Hildesheim, Germany
BSH Home Appliances Group
Intern
April 1, 2016 – July 1, 2016
Munich Area, Germany
TU Dortmund University
Student Assistant
April 1, 2015 – September 1, 2015
Dortmund Area, Germany
Taraz Technologies
R&D Engineer
February 1, 2014 – August 1, 2014
Bahria Town Rawalpindi Pakistan
National Radio Telecom Corporation of Pakistan
Engineering Trainee
August 1, 2012 – April 1, 2013
Haripur, Pakistan.
Trajectory Planning for Mobile Manipulators
September 1, 2015 – February 1, 2016
Project: This project group consists of the development and evaluation of trajectory planners that explicitly preserve the coupling between 4 degree of freedom robotic arm and mobile base. Responsibilities: ▪ Development of a ROS package of a Combined Trajectory Planner and Controller of arm and mobile base using Time Elastic Bands and Model predictive control Techniques. ▪ Testing of this Planner and controller on PhantomX Pincher Robot Arm attached on top of TurtleBot. ▪ Development of ROS action server which uses the navigation and amcl package of ROS based on SLAM (Simultaneous Localization and Mapping) for communication with the real robot. This action server receives a goal, plans the combined trajectory and controls the real robot to reach the goal.
Design, Analysis, Fabrication & control of Versatile Terrain Autonomous Unmanned Ground Vehicle (UGV).
September 1, 2011 – September 1, 2012
▪ Designed 5 prototypes of UGV on Solidworks. ▪ Analysis and simulation of individual parts on Solidworks & PRO-E. ▪ Control Scheme Developed on FPGA using Labview (Compact-RIO from National Instruments).
Cultural Fit Analysis
The candidate's background is heavily skewed towards robotics, automation, and embedded systems, with a recent focus on computer vision and machine learning. While these areas involve data analysis, the direct alignment with a 'Data Analyst' role is limited. The projects demonstrate a strong engineering and research mindset, which could be valuable, but the core responsibilities of a typical data analyst (e.g., statistical modeling, business intelligence, data visualization, SQL proficiency) are not explicitly highlighted. The diversity of projects shows an ability to work in different technical domains.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a methodical approach to problem-solving and a focus on practical application. Experience in diverse project settings (academic research, industry internships, R&D) suggests adaptability. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.