Lino (Antoni) Giefer
Senior Data Scientist
Experience
Senior Data Scientist
CARIAD SE
- Building ETL pipelines to collect data from various local sources and query endpoints
- Performing data analyses and ensuring reliable data delivery from Microsoft Azure Synapse to Power BI
- Developing and training machine learning models using TensorFlow
- Analyzing and logging vehicle networks with CANalyzer and CANoe
Senior Data Scientist
BG Phoenics
- Developing and implementing NLP applications for accident prevention and risk analysis in companies
- Developing large language models (LLMs) using RAG
- Implementing and evaluating NLP search algorithms (semantic search, keyword search, reciprocal rank fusion)
- Performing optical character recognition with OpenCV and Tesseract for text extraction
Senior Data Scientist
VinFast Germany GmbH
- Leading the strategic software development of fusion algorithms for precise object tracking, trajectory prediction and environment modeling based on multimodal sensor data (e.g., camera, LiDAR, radar, GNSS, IMU)
- Developing and implementing navigation algorithms for autonomous vehicles, including path planning, obstacle avoidance and sensor fusion of visual, inertial and distance-based sources
- Automating the extract and training process with CI/CD
- Designing and optimizing data pipelines and processes in Microsoft Azure using Apache Spark, Databricks and PySpark
- Developing and optimizing embedded software for automotive control units
- Creating latency-critical software for real-time controls in robotic systems with RTOS (freeRTOS, SAFERTOS)
- Using the Vector toolchain (CANdela, Davinci, CANoe) for configuration and diagnostics
- Optimizing existing data pipelines and processes (ETL, data warehouse, SQL)
- Building and training machine learning models with PyTorch
- Developing deep learning-based object detection and visual SLAM algorithms trained on combined camera, LiDAR and IMU data
- Implementing computer vision algorithms for object detection and classification in robotic systems using OpenCV and YOLO, leveraging synchronized image and depth data
- Implementing behavior-based control systems for autonomous robots using ROS2 behavior trees
- Conducting tests, releases and integrating the sensor fusion algorithms into automotive production programs
- Following appropriate software development processes and safety standards to ensure high data quality (MISRA, ISO 26262, ASPICE)
Academic Teacher for Python and Deep Learning
IU University of Applied Sciences
- Creating lesson plans and study guides to teach and support students in their field
- Conducting experiments, prompting and fine-tuning large language models (GPT, Falcon-40B) as part of lectures
- Providing appropriate learning materials for students
- Using personalized study plans to help students gain a deeper understanding of the course material and their learning styles
Freelance Scientific Author
Self-Employed
- Designing and writing textbooks and additional teaching materials in the fields of autonomous driving, robotics and deep learning
- Conducting literature research on specific topics
- Applying scientific methods for writing, editing and proofreading content
Data Scientist
Continental AG
- Led a research project with the Institute for Cognitive Neuroinformatics to investigate the suitability of AI methods for optimizing automated driving functions using multimodal sensor data (camera, LiDAR, radar, GNSS, IMU)
- Developed sensor fusion algorithms for robust environment perception and precise localization based on combined data streams from camera, LiDAR, radar, GNSS, and IMU systems
- Trained complex deep-learning models on multimodal sensor data using TensorFlow and PyTorch
- Set up data pipelines in Kubeflow and Kubernetes
- Developed ROS2-based API modules for interaction with external control units and sensor networks
- Managed data warehouses in Microsoft Azure
- Wrote Terraform configurations
- Debugged via Vector tools (CAN, Modbus, D-Bus, I2C)
- Used SQL, developed larger SQL statements
- Performed and developed integration tests with Python
- Conducted code reviews
- Researched probabilistic methods, (multimodal) sensor fusion, deep learning, object detection, and tracking
Research Engineer
Bremer Institut für Produktion und Logistik (BIBA) GmbH
- Led projects with m.a.l. Effekt Technik GmbH, MWZ Steuerungstechnik GmbH, and USK-Wolfram Ungermann Systemkälte GmbH & Co. KG to explore AI methods for process optimization and logistics
- Researched probabilistic methods, sensor fusion, deep learning, and image processing
- Developed image processing algorithms with OpenCV
- Developed a quantized neural network on FPGA hardware
- Presented research results at renowned conferences and in scientific journals
Data Engineer
ZF Friedrichshafen AG
- Developed and optimized data pipelines and processes in Microsoft Azure using Apache Spark and PySpark
- Implemented test software and data analysis algorithms
- Automated tests with Python
- Monitored production progress, maintained detailed records, and updated documentation
- Coordinated and held meetings with external stakeholders and organizations
- Designed and developed test rigs, implementing hardware and software for measurement systems
- Promoted seamless collaboration among cross-functional teams across multiple sites, quickly identified and resolved project issues to ensure timely delivery
- Conducted thorough investigations into project issues, swiftly implemented corrective actions or escalated matters as needed to maintain project progress
- Collaborated with government and local authorities to ensure compliance with regulations and guidelines
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Automotive (11 years), Education (6.5 years), Information Technology (4 years), Transportation (2.5 years), Manufacturing (2.5 years), and Professional Services (1.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Information Technology (12 years), Project Management (11 years), Product Development (10.5 years), Research and Development (9 years), and Business Intelligence (0.5 years).
Summary
Senior Data Scientist, most recently active primarily in the automotive sector. Proven track record of leading cross-functional teams and managing complex projects. Deep understanding of developing and optimizing a wide range of algorithms through innovative research and practical solutions. Skilled in hands-on software development and clear, effective communication with architects and stakeholders at the strategic level. Detail-oriented team player with strong problem-solving and leadership skills, able to quickly understand complex systems and drive focused improvements.
Skills
Skills:
- Data Science
- Machine Learning
- Data Transformation
- Deep Learning
- Large Language Models
- Sensor Fusion
- Image Processing
- Probability Theory
- Algorithm Development
Soft Skills:
- Team Leadership
- Project Management
- Analytical Thinking
- Teamwork
- Research Skills
- Communication
- Solution Orientation
- Working Independently
- Agile Development
- Scrum
- Coaching
Operating Systems:
- Linux
- Windows
- Unix
- Rtos
- Freertos
- Safertos
- Ros
- Ros2
Programming Languages:
- Python
- Java
- Scala
- C
- C++
- Plc
Databases:
- Sqlite
- Sqlalchemy
- Postgresql
- Ibm Db2
- Redis
- Mongodb
Embedded:
- Td4
- Stm32
- Fpga
- Dsp
- Ethernet
- Pcie
- Isim
Frameworks & Libraries:
- Tensorflow
- Pytorch
- Pyspark
- Eigen
- Opencv
- Numpy
- Scipy
- Spacy
- Rasnet
- Boost Beast
- Boost Asio
- Openssl
- Qt
- Gtest
- Yolov8
Protocols:
- Can
- Modbus
- Tcp/ip
- Udp
Cloud Platforms & Automation:
- Azure Data Lake
- Openshift
- Github Actions
- Gitlab Ci
- Gitlab
- Microsoft Azure
- Terraform
- Etl
- Sql
- Jenkins
- Shell Scripting
- Ci/cd
Software Tools:
- Docker
- Kubernetes
- Kubeflow
- Kafka
- Cmake
- Openshift
- Github Actions
- Gitlab Ci
- Git
- Gitlab
- Microsoft Azure
- Cloud Platforms
- Sonarqube
- Uml
- Clang-tidy
- Clang-format
- Autosar
- Matlab Stateflow
- Matlab Simulink
- Terraform
- Talend
- Vector-toolchain
- Ibm Doors
- Power Bi
- Confluence
- Jira
Standards:
- Misra
- Iso 26262
- Aspice
Languages
Education
University of Bremen
Doctor of Engineering · Computer Science and Mathematics · Bremen, Germany
University of Bremen
Master of Science, specialization in Mechatronics · Systems Engineering · Bremen, Germany
University of Bremen
Bachelor of Science, specialization in Automation Engineering and Robotics · Systems Engineering · Bremen, Germany
Certifications & licenses
ISO 21448 UL Certified Autonomy Safety Professional Training
ISO 26262 UL Certified Functional Safety Professional Training
Profile
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