MHP – A Porsche Company

- Developing multimodal Retrieval Augmented Generation applications on company data with Large Language Models
- Building an LLM-based Quality Evaluator and ML-based Duplicate Detection Method for Software Bug Tickets

Data Scientist

Bosch Power Tools

- Implementation and evaluation of probabilistic deep learning models for demand forecasting on AWS SageMaker

Master Student Data Science

- Development of a tool for automated data analysis and visualization in SAP Analytics Cloud
- Implementation of time series forecasting and outlier detection models

Working Student Data Science

Mercedes-Benz AG

- Speeding up the assembly process by using machine learning to predict throughput times and errors on Azure Databricks
- Automation of graph visualization for the optimization of assembly analysis

Fraunhofer IPA

- Implementation and evaluation of a generative deep learning model for image data augmentation for cutting edge patterns
- Implementation of scientific papers in Python

Bachelor Student Deep Learning

MAHLE

- Analysis of engine data and application of machine learning for prediction in piston temperature measurement

Intern Data Analysis & IT Project Management

I make learning Data Science effortless for you | Data Science @ Bosch

Hi 👋🏻
I'm Banias, Data Scientist at MHP.

Applying new technologies and methods in Data Science is my passion.

Through my experience and continual learning, I've gained valuable insights and tips that I love sharing with Data Scientists, Machine Learning Engineers and builders like you.

If you're looking for practical advice, helpful resources, and articles on the latest trends or best practices in the field, you're in the right place.

Let's connect and stay updated on the exciting world of Data Science together. Feel free to reach out, read my articles, and let's grow our knowledge and network. :)


Note: My views are my own and don‘t represent my employer.

Banias Baabe

Alluvium IoT Solutions Pvt. Ltd.

Skills:
• Strong understanding of computer vision and machine learning techniques
• Experience with programming languages such as Python and C++
• Experience with ML frameworks and libraries such as Pytorch, TensorFlow, Keras, OpenCV and scikit-learn
• Familiarity with web scraping techniques and tools such as BeautifulSoup, Scrapy, and Python Selenium
• Knowledge of software development principles and methodologies such as agile, scrum, and DevOps
• Understanding of system architecture design and development principles
• Experience with NVIDIA GPUs, CUDA, cuDNN, ONNX, Tensor-RT, Deepstream, and Edge AI tools
• Experience with cloud computing platforms such as GCP and AWS
• Knowledge of continuous integration and continuous deployment (CICD) principles and tools
   Proficient in debugging and troubleshooting software issues.
• Excellent communication and teamwork skills

▪︎ Responsibilities:

• Design and develop computer vision and tracking software using various tools and libraries
• Collect, filter and augment data using web scraping and other techniques to create high-quality datasets
• Design system architecture to ensure that the software is scalable, reliable, and efficient
• Train computer vision models using machine learning techniques such as deep learning, optimization and hyperparameter tuning
• Develop custom object detection, segmentation and tracking models based on specific requirements
• Deploy computer vision software and develop an MLOPS system to manage the entire development process
• Debug and enhance computer vision system by identifying and fixing issues, adding new features, and applying necessary technical upgrades
• Develop APIs using FASTAPI for deployment of models on GCP and AWS Lambda
• Implement CICD pipelines to ensure that code changes are automatically tested and deployed to production
• Write workflows to automate data collection, model training, and deployment processes, making the development process more efficient.

Computer Vision Engineer

As a results-driven IT professional with over 3 years of experience, I specialize in Python, Generative AI, Full-Stack AI development, Computer Vision, and Large Language Models (LLMs) such as LangChain. My career is defined by a commitment to delivering innovative AI solutions tailored to address complex business challenges.

Expertise: Proficient in developing AI and ML models using frameworks like PyTorch, TensorFlow, and Keras, with a focus on convolutional neural networks (CNNs). Skilled in integrating CUDA-enabled performance enhancements through NVIDIA DeepStream SDK for optimized real-time inference.
Key Contributions: Designed and implemented a full-stack backend for an AI platform offering subscription-based services, streamlining the deployment of multiple AI tools.

Technical Strengths: Advanced knowledge of Python, OpenCV, and computer vision systems, including object detection, real-time tracking, and generative AI pipelines.

Vision: Passionate about driving innovation by combining AI advancements with business objectives, enabling organizations to stay ahead in today’s competitive landscape.

taplio

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Banias Baabe

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