Lino (Antoni) Giefer-Senior Machine Learning Engineer
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Experience
Senior Data Scientist
VinFast Germany GmbH
- Led 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)
- Developed and implemented navigation algorithms for autonomous vehicles, including path planning, obstacle avoidance, and sensor fusion of visual, inertial, and distance-based sensor sources
- Automated extraction and training processes with CI/CD
- Developed and optimized data pipelines and processes in Microsoft Azure using Apache Spark, Databricks, and PySpark
- Developed and optimized embedded software for automotive control units
- Designed latency-critical software for real-time control in robotic systems with RTOS (freeRTOS, SAFERTOS)
- Used the Vector toolchain (CANdela, DaVinci, CANoe) for configuration and diagnostics
- Optimized existing data pipelines and processes (ETL, data warehouse, SQL)
- Developed and trained machine learning models using PyTorch
- Created deep-learning-based object detection and visual SLAM algorithms, trained on combined data from camera, LiDAR, and IMU sensors
- Implemented computer vision algorithms for object detection and classification in robotic systems using OpenCV and YOLO, utilizing synchronized image and depth data
- Implemented behavior-based control systems for autonomous robots using ROS2 Behavior Trees
- Performed testing, release, and integration of sensor fusion algorithms into automotive production programs
- Ensured adherence to proper software development processes and safety standards to guarantee high data quality (MISRA, ISO 26262, ASPICE)
Academic Instructor for Python and Deep Learning
IU University of Applied Sciences
- Created lesson plans and study guides to teach and support students in their field
- Conducted experiments, prompting, and fine-tuning of large language models (GPT, Falcon-40B) in lectures
- Provided appropriate learning materials for students
- Used personalized learning plans to guide students to a deeper understanding of course material and their learning styles
Freelance Scientific Author
Self-Employed
- Designed and wrote textbooks and supplementary teaching materials in autonomous driving, robotics, and deep learning
- Conducted literature research on specific topics
- Followed scientific research methods for writing, editing, and proofreading content
Data Scientist
Continental AG
- Led a research project with the Institute for Cognitive Neuroinformatics to study the suitability of AI methods for optimizing functions of automated driving using multimodal sensor data (image, 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 to interact with external control units and sensor networks
- Managed data warehouses in Microsoft Azure
- Wrote Terraform configurations
- Debugged using Vector tools (CAN, Modbus, D-Bus, I2C)
- Used SQL to develop complex SQL statements
- Performed integration testing and test development with Python
- Conducted code reviews
- Researched probabilistic methods, (multimodal) sensor fusion, deep learning, and 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 the application of AI methods in process optimization and logistics
- Conducted research in probabilistic methods, sensor fusion, deep learning, and image processing
- Developed image processing algorithms using OpenCV
- Developed a quantized neural network on FPGA hardware
- Presented research findings at reputable conferences and in scientific journals
Data Engineer
ZF Friedrichshafen AG
- Development and optimization of data pipelines and processes in Microsoft Azure using Apache Spark and PySpark
- Implementation of test software and data analysis algorithms
- Test automation with Python
- Monitoring manufacturing progress, maintaining detailed records, and updating documentation
- Coordinating and leading meetings with external stakeholders and organizations
- Designing and developing test benches, implementing hardware and software for measurement systems
- Facilitating smooth collaboration between cross-functional teams at different locations, quickly identifying and resolving project issues to ensure timely achievement of objectives
- Conducting thorough investigations into project issues, promptly implementing corrective actions or escalating matters as needed to maintain project progress
- Collaborating with state and local authorities to ensure compliance with regulations and guidelines
Industry Experience
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Experienced in Automotive, Education, Information Technology, Transportation, and Manufacturing.
Business Area Experience
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Experienced in Information Technology, Project Management, Product Development, and Research and Development.
Summary
Senior Data Scientist, most recently active in the automotive sector. Proven track record in leading cross-functional teams and managing complex projects. Solid understanding of developing and optimizing various algorithms through innovative research and practical solutions. Proficient in hands-on software development and clear, effective communication with architects and strategic stakeholders. Detail-oriented team player with strong problem-solving and leadership skills, able to quickly understand complex systems and drive purposeful development.
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
- Scientific Work
- Communication
- Solution Orientation
- Independent Work
- 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 Technology and Robotics · Systems Engineering · Bremen, Germany
Certifications & licenses
ISO 21448 UL Certified Autonomy Safety Professional Training
ISO 26262 UL Certified Functional Safety Professional Training
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