Experience

PAUL Tech AG

• Germany
• Real Estate
• 1 - 100 Employee

• Machine Learning Engineer

  • Feb 2022 - Present

  • Applied Generative AI, incorporating LLM models and developed System Diagnostic Solution, ensuring alignment with the latest AI advancements. • Development of cutting-edge AI services, encompassing Computer Vision, Generative AI, Time Series, and Predictive Maintenance, from initial research to model serving, ensuring seamless integration into the company's offerings. • Established end-to-end, automated retraining pipelines with CI/CD to enable efficient and continuous improvement of… Show more • Applied Generative AI, incorporating LLM models and developed System Diagnostic Solution, ensuring alignment with the latest AI advancements. • Development of cutting-edge AI services, encompassing Computer Vision, Generative AI, Time Series, and Predictive Maintenance, from initial research to model serving, ensuring seamless integration into the company's offerings. • Established end-to-end, automated retraining pipelines with CI/CD to enable efficient and continuous improvement of AI models, reducing manual intervention and maximizing productivity. • Designed and implemented robust object detection pipelines, leveraging state-of-the-art techniques, and optimized for performance and accuracy. • Identified and explored new use cases for AI applications within the company, collaborating with stakeholders and domain experts to align AI solutions with business objectives. • Successfully built Proof of Concepts (POCs) to demonstrate the feasibility and potential of AI-driven solutions, paving the way for their adoption in various projects by harnessing cutting-edge trends in AI.. • Kept abreast of recent trends, such as Kafka Stream processing and Microservice architecture, and effectively integrated these technologies into the AI ecosystem to enhance system scalability and responsiveness. • Fostered a culture of innovation within the AI team, encouraging exploration of novel approaches and continuous learning to stay at the forefront of AI advancements. • Collaborated with cross-functional teams, including data scientists, engineers, and product managers, to ensure a holistic approach to AI solution development and seamless integration with existing systems. • Participated in regular knowledge-sharing sessions and presented AI findings and discoveries to the wider organization, promoting awareness and understanding of AI's potential impact. Show less • Applied Generative AI, incorporating LLM models and developed System Diagnostic Solution, ensuring alignment with the latest AI advancements. • Development of cutting-edge AI services, encompassing Computer Vision, Generative AI, Time Series, and Predictive Maintenance, from initial research to model serving, ensuring seamless integration into the company's offerings. • Established end-to-end, automated retraining pipelines with CI/CD to enable efficient and continuous improvement of… Show more • Applied Generative AI, incorporating LLM models and developed System Diagnostic Solution, ensuring alignment with the latest AI advancements. • Development of cutting-edge AI services, encompassing Computer Vision, Generative AI, Time Series, and Predictive Maintenance, from initial research to model serving, ensuring seamless integration into the company's offerings. • Established end-to-end, automated retraining pipelines with CI/CD to enable efficient and continuous improvement of AI models, reducing manual intervention and maximizing productivity. • Designed and implemented robust object detection pipelines, leveraging state-of-the-art techniques, and optimized for performance and accuracy. • Identified and explored new use cases for AI applications within the company, collaborating with stakeholders and domain experts to align AI solutions with business objectives. • Successfully built Proof of Concepts (POCs) to demonstrate the feasibility and potential of AI-driven solutions, paving the way for their adoption in various projects by harnessing cutting-edge trends in AI.. • Kept abreast of recent trends, such as Kafka Stream processing and Microservice architecture, and effectively integrated these technologies into the AI ecosystem to enhance system scalability and responsiveness. • Fostered a culture of innovation within the AI team, encouraging exploration of novel approaches and continuous learning to stay at the forefront of AI advancements. • Collaborated with cross-functional teams, including data scientists, engineers, and product managers, to ensure a holistic approach to AI solution development and seamless integration with existing systems. • Participated in regular knowledge-sharing sessions and presented AI findings and discoveries to the wider organization, promoting awareness and understanding of AI's potential impact. Show less



MYNXG / MyOmega Systems GmbH

• Machine Learning Engineer

  • Jan 2019 - Feb 2022

  • Collaborated closely with cross-functional teams to align project objectives with business goals and ensure seamless integration • Spearheaded an end-to-end (E2E) deep learning project focused on fill level detection. Managed all project phases, from data preparation and feature engineering to model training, deployment, and serving on edge computing devices. • Successfully implemented a product name and company logo/name detection system using the YOLOv2 algorithm on product… Show more • Collaborated closely with cross-functional teams to align project objectives with business goals and ensure seamless integration • Spearheaded an end-to-end (E2E) deep learning project focused on fill level detection. Managed all project phases, from data preparation and feature engineering to model training, deployment, and serving on edge computing devices. • Successfully implemented a product name and company logo/name detection system using the YOLOv2 algorithm on product datasheets. • Employed agile development methodologies to establish a cloud core with microservices and an event-based architecture. Integrated REST API, PostgreSQL, Kafka, and Docker to ensure scalability and robustness. • Leveraged Gitflow-based version control system for seamless collaboration and streamlined development processes. • Actively participated in pair programming sessions, conducted thorough code reviews, and facilitated GitLab merge requests for efficient teamwork. • Proactively addressed issues and bugs, providing timely solutions and support to maintain the system's stability and smooth operation. • Identified areas for task automation and spearheaded the design and implementation of Python-based automated services, optimizing workflow and productivity. Show less • Collaborated closely with cross-functional teams to align project objectives with business goals and ensure seamless integration • Spearheaded an end-to-end (E2E) deep learning project focused on fill level detection. Managed all project phases, from data preparation and feature engineering to model training, deployment, and serving on edge computing devices. • Successfully implemented a product name and company logo/name detection system using the YOLOv2 algorithm on product… Show more • Collaborated closely with cross-functional teams to align project objectives with business goals and ensure seamless integration • Spearheaded an end-to-end (E2E) deep learning project focused on fill level detection. Managed all project phases, from data preparation and feature engineering to model training, deployment, and serving on edge computing devices. • Successfully implemented a product name and company logo/name detection system using the YOLOv2 algorithm on product datasheets. • Employed agile development methodologies to establish a cloud core with microservices and an event-based architecture. Integrated REST API, PostgreSQL, Kafka, and Docker to ensure scalability and robustness. • Leveraged Gitflow-based version control system for seamless collaboration and streamlined development processes. • Actively participated in pair programming sessions, conducted thorough code reviews, and facilitated GitLab merge requests for efficient teamwork. • Proactively addressed issues and bugs, providing timely solutions and support to maintain the system's stability and smooth operation. • Identified areas for task automation and spearheaded the design and implementation of Python-based automated services, optimizing workflow and productivity. Show less



Incenda AI

• Germany
• Software Development
• 1 - 100 Employee

• Machine Learning Engineer

  • Jan 2020 - May 2020

  • Collaborated with the team to develop a Deep Learning (DL) algorithm for accurate bounding box detection on a specific dataset. • Leveraged state-of-the-art DL frameworks and techniques to optimize the model's performance. • Integrated the DL algorithm with an existing labeled data quality assurance platform to verify bounding box predictions against ground truth label data. • Collaborated with the team to develop a Deep Learning (DL) algorithm for accurate bounding box detection on a specific dataset. • Leveraged state-of-the-art DL frameworks and techniques to optimize the model's performance. • Integrated the DL algorithm with an existing labeled data quality assurance platform to verify bounding box predictions against ground truth label data.



Digitalwerk GmbH Regensburg

• Germany
• Software Development
• 1 - 100 Employee

• Master Thesis Student

  • Apr 2018 - Sep 2018

  • Developed an intelligent method for ensembling multiple semantic segmentation deep neural networks and generating a quality matrix based on model uncertainty. • Automated data labeling process, demonstrating effective use case implementation. • Utilized ensemble learning and uncertainty techniques within Deep Learning frameworks to enhance machine learning methods. • Planned, executed, and managed Amazon Web Service EC2 instances for efficient computational resources. • Cultivated… Show more • Developed an intelligent method for ensembling multiple semantic segmentation deep neural networks and generating a quality matrix based on model uncertainty. • Automated data labeling process, demonstrating effective use case implementation. • Utilized ensemble learning and uncertainty techniques within Deep Learning frameworks to enhance machine learning methods. • Planned, executed, and managed Amazon Web Service EC2 instances for efficient computational resources. • Cultivated improved management skills through project coordination and leadership. Show less • Developed an intelligent method for ensembling multiple semantic segmentation deep neural networks and generating a quality matrix based on model uncertainty. • Automated data labeling process, demonstrating effective use case implementation. • Utilized ensemble learning and uncertainty techniques within Deep Learning frameworks to enhance machine learning methods. • Planned, executed, and managed Amazon Web Service EC2 instances for efficient computational resources. • Cultivated… Show more • Developed an intelligent method for ensembling multiple semantic segmentation deep neural networks and generating a quality matrix based on model uncertainty. • Automated data labeling process, demonstrating effective use case implementation. • Utilized ensemble learning and uncertainty techniques within Deep Learning frameworks to enhance machine learning methods. • Planned, executed, and managed Amazon Web Service EC2 instances for efficient computational resources. • Cultivated improved management skills through project coordination and leadership. Show less



Audi Electronics Venture GmbH

• Germany
• Motor Vehicle Manufacturing
• 1 - 100 Employee

• Intern

  • Oct 2017 - Mar 2018

  • Conducted performance evaluations of standard CNN architectures (e.g., AlexNet, GoogleNet) on diverse embedded hardware platforms. • Gained hands-on experience with NVIDIA's inference engine, TensorRT, and other TensorFlow tools such as TensorFlow Lite, TensorFlow XLA, and TensorFlow Profiler. • Analyzed GPU performance of standard CNN architectures using System Profiler on NVIDIA's Drive PX2 platform. • Strengthened communication and cognitive skills through collaborative project… Show more • Conducted performance evaluations of standard CNN architectures (e.g., AlexNet, GoogleNet) on diverse embedded hardware platforms. • Gained hands-on experience with NVIDIA's inference engine, TensorRT, and other TensorFlow tools such as TensorFlow Lite, TensorFlow XLA, and TensorFlow Profiler. • Analyzed GPU performance of standard CNN architectures using System Profiler on NVIDIA's Drive PX2 platform. • Strengthened communication and cognitive skills through collaborative project work. Show less • Conducted performance evaluations of standard CNN architectures (e.g., AlexNet, GoogleNet) on diverse embedded hardware platforms. • Gained hands-on experience with NVIDIA's inference engine, TensorRT, and other TensorFlow tools such as TensorFlow Lite, TensorFlow XLA, and TensorFlow Profiler. • Analyzed GPU performance of standard CNN architectures using System Profiler on NVIDIA's Drive PX2 platform. • Strengthened communication and cognitive skills through collaborative project… Show more • Conducted performance evaluations of standard CNN architectures (e.g., AlexNet, GoogleNet) on diverse embedded hardware platforms. • Gained hands-on experience with NVIDIA's inference engine, TensorRT, and other TensorFlow tools such as TensorFlow Lite, TensorFlow XLA, and TensorFlow Profiler. • Analyzed GPU performance of standard CNN architectures using System Profiler on NVIDIA's Drive PX2 platform. • Strengthened communication and cognitive skills through collaborative project work. Show less



BIBA - Bremer Institut für Produktion und Logistik GmbH

• Germany
• Research Services
• 1 - 100 Employee

• Master Project

  • Sep 2016 - Sep 2017

  • Led the establishment of a Hydraulic Control System model for a 4-ton omnidirectional vehicle. • Explored different omnidirectional configurations for versatility in construction, agriculture, and mining sectors. • Conducted comprehensive floor condition evaluations to ensure adaptability. • Optimized the control system through dynamic simulations using Matlab/Simulink and Simscape toolbox/Simhydraulic. • Collaborated effectively within a multidisciplinary team. • Enhanced… Show more • Led the establishment of a Hydraulic Control System model for a 4-ton omnidirectional vehicle. • Explored different omnidirectional configurations for versatility in construction, agriculture, and mining sectors. • Conducted comprehensive floor condition evaluations to ensure adaptability. • Optimized the control system through dynamic simulations using Matlab/Simulink and Simscape toolbox/Simhydraulic. • Collaborated effectively within a multidisciplinary team. • Enhanced expertise in modeling, simulation, and control system optimization. Link: http://omnitracks.ips.biba.uni-bremen.de/home.html

• Student Research Assistant

  • Apr 2017 - Aug 2017

  Developed hardware and software for the specific application Did analysis of Kaggle competitions for evaluation metrics, algorithms, types of dataset used