Nazmican Calik

Machine Learning Engineer. Sometimes I write about data related stuff.

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Machine Learning Engineer with expertise in computer vision and deep learning, specializing in video generation and 3D data processing. Experienced in developing generative vision models, real-time AI systems, and integrating ML solutions with production environments.

Experience

VIDLAB7 GMBH - Machine Learning Engineer

06/24-present / Munich

  • Designed and deployed an in-house lip-sync pipeline using GANs and transformer models, enabling video generation with high temporal consistency and realistic mouth movements.
  • Developed comprehensive dataset collection and cleaning pipeline with image quality assessment and audio sync correction, improving training data quality by 40%.
  • Built a real-time responsive AI Agent (24 FPS) with document processing increasing customer engagement by 30%.

FILICS GMBH - Computer Vision Engineer

10/22-06/24 / Munich

  • Implemented robust detection and tracking system for multiple load carriers using ML and classical CV, achieving 95% detection accuracy in challenging warehouse environments.
  • Integrated computer vision modules with ROS2 for robotics applications, reducing detection and pallet entry time (using SVMs) by 60%.

DEFIA SOFTWARE - Working Student

10/18-07/19 / Istanbul

  • Full stack development of a factory tool tracking app with ionic used by 50+ workers, streamlining equipment monitoring.

MACIO GMBH - Intern

06/18-10/18 / Kiel

  • Developed an embedded OS in C++/Qt for commercial dishwashers, implementing user interface and control systems.
  • Designed and implemented a real-time meeting room status tracking system with occupancy detection and booking using JavaScript and React.

Education

TECHNICAL UNIVERSITY OF MUNICH - M.Sc. Computer Science

2019-2022

  • Final Grade: 1.9 (1.0 being highest distinction in German system)
  • Specialized in Computer Vision, Machine Learning for 3D Geometry, and Deep Learning
  • Recipient of DAAD Masters Scholarship

BOGAZICI UNIVERSITY - B.Sc. Computer Engineering (2015-2019)

  • Final Grade: 3.4/4.0
  • Specialized in Software Engineering and Computer Vision

Skills

Programming Languages
Python, C++, SQL, Javascript, R

Machine Learning
PyTorch | Computer Vision | CNNs | GANs | Transformers | MLOps | 3D Data | OpenCV

Software Development
Git | Linux | CI/CD | REST API | GCP | Docker | Wandb | Model Deployment | ROS2

Languages
English, German, Turkish

Projects

  • Convolution Augmented Transformers for 3D Data Processing (PyTorch) - Developed a novel convolutional block for self-attention mechanisms, improving point cloud understanding on ModelNet and ShapeNet datasets.

  • 3D Object Part Segmentation using Self-supervised Learning (PyTorch) - Created a model for object part segmentation using SimCLR and PointNet on ShapeNet, achieving comparable results to supervised approaches.

  • Deep Neural Network Based Action Recognition with Transformers (PyTorch) - Developed a transformer model to detect actions in Jester, Something Something v2 and Kinetics datasets.

Awards & Hackathons

  • DAAD Masters Scholarship Grantee (2019-2022)
  • Pisano Hackathon 1st Prize (2018) - Developed backend of a webapp to help users sort their paperwork according to topological order using MongoDB and Express Framework.
  • Accenture Global Hackathon 3rd Prize (2017) - Developed the frontend and backend of a webapp using AngularJs.