Mahshid Ahmadi

Graduated with a Master's in Artificial Intelligence Engineering and seeking an opportunity to start a career. Developing an end-to-end LLM-driven pipeline for species interaction extraction, which includes NER (Named Entity Recognition) and RE (Relations Extraction) modules and NetworkX knowledge graphs. Experienced in creating automated and formula-based Python pipelines, integrating LLMs for structured data extraction, and building interactive dashboards with Dash using SQL/MySQL and MongoDB. Skilled in implementing ML/DL models for geospatial analysis, managing large-scale datasets, and creating visualizations to enhance model refinement. Proficient in Python, PyTorch, Docker containerization, Flask/Django web services, and geospatial tools (QGIS, GeoDjango, PostGIS).

 Graduated student in a Master's in Artificial Intelligence Engineering and seeking an opportunity to start a career. Developing an end-to-end LLM-driven pipeline for species interaction extraction, which includes NER (Named Entity Recognition) and RE (Relations Extraction) modules and NetworkX knowledge graphs. Experienced in creating automated and formula-based Python pipelines, integrating LLMs for structured data extraction, and building interactive dashboards with Dash using SQL/MySQL and MongoDB. Skilled in implementing ML/DL models for geospatial analysis, managing large-scale datasets, and creating visualizations to enhance model refinement. Proficient in Python, PyTorch, Docker containerization, Flask/Django web services, and geospatial tools (QGIS, GeoDjango, PostGIS).

Graduated student in a Master's in Artificial Intelligence Engineering and seeking an opportunity to start a career. Developing an end-to-end LLM-driven pipeline for species interaction extraction, which includes NER (Named Entity Recognition) and RE (Relations Extraction) modules and NetworkX knowledge graphs. Experienced in creating automated and formula-based Python pipelines, integrating LLMs for structured data extraction, and building interactive dashboards with Dash using SQL/MySQL and MongoDB. Skilled in implementing ML/DL models for geospatial analysis, managing large-scale datasets, and creating visualizations to enhance model refinement. Proficient in Python, PyTorch, Docker containerization, Flask/Django web services, and geospatial tools (QGIS, GeoDjango, PostGIS).