Naveen Kumar Mula Email & Phone Number

Vienna, Austria

- Research and develop image processing and data science projects with Artificial Intelligence (AI)- Working on Austrian and European Projects

Steyr, Upper Austria, Austria

- EU Research Project - Zero Defect Manufacturing Platform(ZDMP)- Developing AI algorithms and methods for realizing "zerodefect" approaches in production processes.- Implementation of scanning software for sensor, and developedbackend with C++ and front end with C#- Implementation of prediction optimization and processassurance run time components, where we can deploy MLalgorithm with Kubernetes and set alarm rules to trigger will benotified if the failure happens and backend (python) andfrontend(React JS)- Implementation of REST API, Open API Specification, MQTT(message bus protocol)- Document all related work for developed software, componentsand publications.

Vienna, Austria

- Develop computer vision algorithms for fruit detection and bloom segmentation- Improve Machine learning models by selecting the correct data- Create data annotations and filter the data for ML model training to reduce overfitting and improve generalization by diversifying the dataset - Migrate ML/DL models to deploy on server- Assist in the installation and running of products and hardware setup - Debugging with no additional support - Participate in project reviews - Documentations for developed projects, and suggestions for new ideas- Develop algorithms by using Python and C++ Programming languages

Linz, Upper Austria, Austria

- Developed new strategies to find the optimal solution for Person Segmentation, 3D human body reconstruction projects- Developed new mask refinement strategies and fine-tuned existed methods to obtain fewer pixel error rate results.- Investigated new methods to find a better solution for Pose estimation methods and new improvements added to existing models such as OpenPose and Pix2Pose to increase accuracy.- Create, training, testing Machine learning models with private datasets- Optimization techniques implemented for faster inference time- Created models converted to ONNX format for the platform portability- Active participation with Sprint planning, sprint retrospective, sprint review- Developed build workflows using Gitlab-CI, Docker- Involved in many projects such as estimation of body measurements, voxel carving, 3d Human Body Construction

Austria

Master Thesis Title: Enhance Video Coding Quality with ML-based Face Detection - Implemented a face detection algorithm using DeepLearning Models to detect faces in a Video Stream - Train, Test and deploy the model on the CPU Platform. - Applied optimization techniques to improve inference time - Implemented the Region of Interest (ROI) Encoding feature for Advanced Video Coding (AVC) (x264 codec) to enhance the image quality in particular areas while maintaining a low bitrate - Objective(PSNR)/Subjective evaluation of the projectThis approach provides better image quality, a higher compression ratio and resolves insufficient bandwidth and storage space problems.