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MoonGirl99/README.md

Hi, I'm Mahshid Ahmadi

Typing SVG



LinkedIn Email GitHub Location


๐Ÿ‘ฉโ€๐Ÿ’ป About Me

I'm an AI Engineer & Data Scientist with 2+ years of professional experience building reliable, scalable AI systems that solve real business problems โ€” from LLM-powered document automation to geospatial ML models.

"Impactful AI must also be trustworthy and responsible."

Currently pursuing a second M.Sc. in Computer Science (Security & Ethical AI) at the University of Passau ๐Ÿ‡ฉ๐Ÿ‡ช, following a completed M.Sc. in AI Engineering. My thesis explored LLM-driven knowledge extraction and species interaction network reconstruction from scientific literature.

mahshid = {
    "focus":        ["AI Engineering", "Gen AI", "Agentic AI", "Data Science", "Ethical AI"],
    "currently":    "M.Sc. Computer Science โ€” Security & Ethical AI @ Uni Passau",
    "day_job":      "Data Scientist Working Student @ Next Data Service AG, Berlin",
    "languages":    ["Python", "R", "SQL"],
    "ask_me_about": ["LLM pipelines", "RAG", "FastAPI", "GIS & spatial ML", "AI-Based and Rule-Based Classification"],
}

๐Ÿ› ๏ธ Tech Stack

๐Ÿค– AI & Generative AI

Python PyTorch HuggingFace LangChain OpenAI Scikit-learn TensorFlow

โš™๏ธ Backend & APIs

FastAPI Django REST API

๐Ÿ“Š Data & Analytics

Pandas NumPy Dash R

๐Ÿ—บ๏ธ GIS & Spatial

QGIS ArcGIS PostGIS

๐Ÿ—„๏ธ Databases

PostgreSQL MongoDB MySQL

๐Ÿ”ง MLOps & Infrastructure

Docker Kubernetes GCP VertexAI AWS Git


๐Ÿ’ผ Professional Experience

๐Ÿ”ฌ Data Scientist โ€” Working Student

Next Data Service AG, Berlin 03/2024 โ€“ Present

  • Engineered scalable backend AI components (Classifier, Parser, RuleUI) with Python & FastAPI for the Mineral Waste Manager platform
  • Designed end-to-end AI pipelines covering data preprocessing, model integration, API development, deployment, and evaluation
  • Automated 10K+ document processing workflows by combining rule-based logic with LLM-driven pipelines
  • Optimized MongoDB & MySQL architectures, reducing query latency for data-intensive applications
  • Built monitoring dashboards and workflow tracking tools for system transparency

๐Ÿ›ฐ๏ธ Machine Learning Intern

Institut fรผr Integrierte Produktion Hannover 08/2023 โ€“ 10/2023

  • Developed and optimized Random Forest & SVM models for wind turbine site selection using GIS data
  • Performed spatial data cleaning, analysis, and visualization

๐ŸŒ Python Developer Intern

Rah Shahr International Group, Tehran 03/2021 โ€“ 08/2021

  • Built a spatial web database and mapping system for geospatial data visualization using Django & PostGIS
  • Refactored database schemas and query patterns, improving response time and access efficiency

๐ŸŽ“ Education

Degree Institution Period
M.Sc. Computer Science โ€” Security & Ethical AI University of Passau, Germany 2025 โ€“ present
M.Sc. AI Engineering โ€” Applied AI & Software Development University of Passau, Germany 2022 โ€“ 2025
B.Sc. Computer Engineering Ershad Damavand Higher Education Institute, Tehran 2018 โ€“ 2022

M.Sc. Thesis: LLM-Driven Knowledge Extraction and Network Reconstruction of Species Interactions from Scientific Literature


๐Ÿš€ Featured Projects

๐Ÿฝ๏ธ Food Hazard Detection โ€” SemEval-2025 Task 9

10/2025 โ€“ 01/2026 Automated food hazard and product identification from food safety incident texts using NLP. Tackled real-world class imbalance for food safety monitoring and risk assessment.

๐Ÿฆ GenAI-Powered Banking Document Classification

10/2025 AI-driven system for automated classification and key-field extraction from multilingual banking documents using LLMs and semantic retrieval. Deployed with MLOps principles via Docker pipelines.

๐ŸŒฟ Species Interaction Network Extraction using LLMs

01/2025 โ€“ 07/2025 Designed an NLP pipeline leveraging LLaMA-based models to extract species relationships from scientific texts and construct validated biodiversity knowledge graphs. Achieved F1 = 60%, Precision = 44%, Recall = 91%.

๐ŸŒฌ๏ธ Wind Turbine Site Selection & Price Prediction

08/2023 โ€“ 10/2023 ML and GIS-based models for optimal turbine site selection using environmental and spatial data. Stack: ArcGIS, QGIS, Python, GeoDjango, Scikit-learn, Geopandas, PostgreSQL.


๐ŸŒ Languages

Language Level
๐Ÿ‡ฎ๐Ÿ‡ท Persian Native
๐Ÿ‡ฌ๐Ÿ‡ง English Fluent
๐Ÿ‡ฉ๐Ÿ‡ช German B1โ€“B2, active coursework
๐Ÿ‡ฐ๐Ÿ‡ท Korean A2

๐ŸŽฏ Currently Working On

  • ๐Ÿค– Deepening expertise in LangGraph & agentic AI systems for enterprise workflows
  • โ˜๏ธ Scaling production AI on GCP / Vertex AI at Next Data Service AG

๐Ÿค Open To

I'm actively looking for full-time roles in AI Engineering, Software Engineering, or Data Science. Open to relocation and on-site work. Let's connect!

LinkedIn Email


"Impactful AI must also be trustworthy and responsible."

Pinned Loading

  1. GenAI_Banking_Document_Classification GenAI_Banking_Document_Classification Public

    Python 1

  2. SIN_APP SIN_APP Public

    Python

  3. Pull-Request-Analysis-and-Predictive-Modeling Pull-Request-Analysis-and-Predictive-Modeling Public

    Pull Request Analysis and Predictive Modeling.

    Jupyter Notebook

  4. SIN_LLM SIN_LLM Public

    Species Interaction Network Discovery using LLMs Across Unstructured Text

    Jupyter Notebook

  5. satd-and-complexity satd-and-complexity Public

    Jupyter Notebook

  6. Code-Readability-Analysis-and-Prediction Code-Readability-Analysis-and-Prediction Public

    Jupyter Notebook