Peter Ngure

• Product Leadership: Successfully managed the development and launch of automotive software solutions, ensuring alignment with organizational goals and market demands.
• Market Insight: In-depth understanding of automotive industry trends, technological advancements, and competitive landscapes, driving informed decision-making.
• Strategic Planning: Developed and executed comprehensive product roadmaps, contributing to increased market share and revenue growth.
• Cross-Functional Collaboration: Proven ability to collaborate seamlessly with engineering, marketing, and sales teams to deliver high-quality products on time and within budget.
• User-Centric Approach: Focused on delivering user-friendly solutions by integrating customer feedback and usability studies into the product development process.

• Designed, implemented and evaluated new models and rapid software prototypes for application in a living space interior project (NDA protected).
• Using Django and docker to develop quick web application to be used by my department for deployment of statistical models include ML models
• Design a study used in the collection of data used in the training of models from participants, writing scripts to convert the data into video, image, and CSV data for model training.
• Researched, designed and implemented machine learning applications to solve business problems affecting Volkswagen Group.

• Prototyped machine learning applications and quickly determined application viability.
• Transformed raw data to conform to assumptions of machine learning algorithm.
• Identified researched technical details to build innovative solutions.

• Lehrstul für TMDT - Bergische Universitat
• Wuppertal, Wuppertal, Nordrhein-Westfalen
• Part of the team in charge with development of computer vision systems to detect train defects using images taken from cameras along railway trucks for DB cargo
• Distributed AI, deep learning and computer vision solutions
• Developed code for automatic downloading and cleaning data (Images) from the internet
• Developed a model using Resnet50 to classify delivery vehicles to be used at road intersections to track delivery trucks
• Edited the pretrained Yolov4 object tracking to track delivery cars at road intersection
• Developed a program for Polarized Light
• Tomography image reconstruction using computed retardation, inclination, direction, and transmittance values
• Using SLURM to pipeline tasks requiring GPU compute capabilities

• In charge of the model development for the
  automatic sorting of over 3000 LEGO blocks and minifigures.
• Used TensorFlow and pretrained supervised
  models to create a model that could classify
  200 classes of Lego.
• Involved in the research of the different
  possible approaches in the development of a
  resource efficient model.

• Bringing new contact and business opportunities in the manufacturing sector (Tier 1 and Tier2)
• Responsible of the accounts and participate as a core team member in the project launch reviews
• Liaise with the project team and customer to gather requested information and put the QAF together
• Negotiate quotation directly with the customer
• Actively support new product introduction, project reviews
• Provide first point of contact to new customers and support the nurturing and growth of the business with these customers.

Computer Science 1 - C++, Virtualization, Data Structures

Computer Science 2 - Python, Fortran, Image Processing and Visualization

Computer Simulation 1 - MATLAB, Neural Networks, Monte Carlo Simulations, Chaos Numerical Simulations

Partial differential Equations

Ordinary Differential Equations

Data Analysis - Support Vector Machines, Statistical Methods, Bayesian and Frequentist Model fitting, K-Nearest neighbors, CNN, LSTM, GAN

Quantitative Medical Imaging - PET, MRI, Optical Coherence Tomography, Polarized Light Tomography, SPECT, Computed

Computer Simulations 3 - MPI,parallel computing, OpenMP, C programming Language

Virtualization 2 - Docker, Docker swarm, containerization