Curriculum Vitae

🎓 Education

Ph.D. in Computer Science | Sep 2020 - Aug 2025 University of Groningen, The Netherlands

  • Intelligent Systems group, Bernoulli Institute
  • Thesis: Faint Object Detection in Multidimensional Astronomical Data

M.Sc. in Computer Science | Sep 2017 - Aug 2020 Shahed University, Tehran, Iran

  • Artificial Intelligence group
  • Thesis: DEGAN: Decentralized Generative Adversarial Networks

B.Sc. in Software Engineering | Sep 2014 - Aug 2017 Technical and Vocational College, Tehran, Iran

🤖 Professional Experience

AI Researcher - Data Scientist | Sep 2020 - Present Bernoulli Institute, University of Groningen, The Netherlands

  • Developed a core software for advanced large-scale data processing.
  • Developed novel algorithms that accelerated data processing execution by 31x while maintaining 98% accuracy.
  • Designed and implemented advanced ML algorithms for high-precision pipelines.
  • Supervised graduate students in applied computer science research.

Data Scientist Intern | Sep 2024 - Mar 2025 Instituto de Astrofísica de Canarias, Tenerife, Spain

  • Designed and deployed machine learning algorithms within multidisciplinary teams.
  • Implemented and validated end-to-end, scalable AI architectures.
  • Delivered robust, automated high-impact data processing pipelines for scientific measurements.

Software Engineer | AI Expert | Aug 2017 - Aug 2020 SmartAge, Tehran, Iran

  • Designed, built, and maintained scalable backend services and microservices.
  • Administered SQL/NoSQL databases, performing data migrations and query optimizations.
  • Implemented asynchronous processing and event-driven architectures.
  • Managed CI/CD integration and ongoing deployment of applications.

🚀 Highlights

  • 🤖 Machine Learning: Advanced algorithms, computer vision, and deep neural networks.
  • ⚡ Software Engineering: Scalable services, microservices, API design, and event-driven architectures.
  • 🔧 MLOps & DevOps: CI/CD automation, Docker, Kubernetes, and cloud deployment (AWS/GCP).
  • 🚀 High-Performance Computing: Parallel processing and multi-threading.
  • 📊 Large-Scale Data: Pipeline automation for processing and analyzing massive datasets.

🛠️ Tech Stack

Languages: Python | C++ | C | Go
ML & Data Science: PyTorch | TensorFlow | OpenCV | Scikit-learn
Cloud & DevOps: Docker | Kubernetes | AWS/GCP | CI/CD | MLOps
Systems & Databases: SQL | NoSQL | REST APIs | Microservices

For a detailed version of my CV, including publications and projects, please use the navigation menu or download the full PDF.