Technical Skills
Programming Languages
Python

Primary language

R, MATLAB, Java

Statistical & scientific computing

ML & Frameworks
PyTorch

PyTorch Geometric for GNNs

TensorFlow, Scikit-learn

Deep learning & ML frameworks

GIS & Geospatial
GeoPandas, NetworkX

Spatial data & network analysis

QGIS, ArcGIS

GIS software & tools

Shapely, Fiona, Folium

Geospatial libraries

Optimization & Simulation
CPLEX, Gurobi

Mathematical optimization

Arena, AnyLogic, Vensim

Simulation software

OmniTrans, PTV Vissum

Transport & spatial modeling

DevOps & Tools
Git, GitLab, LaTeX

Version control & documentation

Cloud
Azure, GCP, AWS

Cloud services

Languages
A1
A2
B1
B2
C1
C2
Persian (mother tongue)
Azeri (bilingual)
English
Turkish
Dutch
French
Professional Development

Advanced Transportation & AI

  • TRAIL International Summer School — Automated Driving (TRAIL Research School)
  • Traffic Flow Modeling & Control — Crete Short Course
  • Discrete Choice Analysis — Microeconomics & ML Approaches (TU Delft)
  • SURF Academy — Research Methods in Transportation (TRAIL Research School)

AI & Machine Learning

  • Building Agentic RAG with LlamaIndex (Deeplearning.ai)
  • LLMOps & Finetuning Large Language Models (Deeplearning.ai)
  • Knowledge Graphs for RAG (Deeplearning.ai)

Research & Academic Skills

  • Grant Writing — Scientific Writing for Research Proposals (University of Colorado, Coursera)
  • Peer Review — Managing Academic Publication Process (TU Delft)
  • Teaching — Development of Active Learning (TU Delft OpenCourseWare)
  • Mentoring — Supervising Graduate Students (TU Delft)
Notable Open Source Contributions
  • HDLMF_GIN-GA — Hybrid deep learning optimization framework for network design using deep learning based surrogate modeling
  • rr-measure-basic — Using LLMs for automated pipeline to assess reproducibility of transportation research papers
  • TOD_simulation — Teleoperated driving simulation framework
  • DAP — Java simulation tool for anchorage planning
  • Research Dataset — Transport network datasets for training graph neural network models