I am a computer science graduate researcher at Ozyegin University. I work across computer vision, machine learning, and distributed systems, with recent research on remote sensing, video instance segmentation, and data processing systems.

Proficient in Python and Java, with experience in software engineering, applied AI/ML research, and production-oriented development. I work on reproducible research code, computer vision and image processing systems, CI/CD pipelines, containerized microservices, and cloud-ready deployments using Docker and Kubernetes. Passionate about AI, DevOps, MLOps, clean architecture, and building scalable systems beyond notebooks.

Recent Publications

• Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications
  IEEE Transactions on Geoscience and Remote Sensing, 2026

• FBQM-VIS: Fourier Based Query Mixing for Online Video Instance Segmentation
  In the proceedings of 2025 33rd Signal Processing and Communications Applications Conference (SIU), 2025

• Performance Comparison of Recent Advances in Query-Based Video Instance Segmentation
  Pattern Recognition and Computer Vision in the New AI Era, 2025

See the publication archive for the full list.

Contact

• Email: possenalain21@gmail.com
• Web: n-alain.me
• GitHub: possenalain
• LinkedIn: ndigande
• YouTube: n-alain

Toolbox

• Research: PyTorch, TensorFlow, scikit-learn, Jupyter, Apache Spark
• Languages: Python, Java, C++, C, JavaScript
• Delivery: Git, Docker, Kubernetes, Linux, CI/CD
• Platforms: AWS, Azure, Google Cloud

Outside work, I swim and play guitar.