Recommended expert

Maryam Aghabozorgi

AI Engineer / Data Scientist

Maryam Aghabozorgi
Prague, Czech Republic

Experience

Sep 2025 - Present
7 months

AI Engineer / Data Scientist

Space Physics Group, Charles University

  • Using generative AI techniques to accelerate and enhance Coronal Mass Ejection (CME) simulations for improved space weather prediction.
  • Mentored junior researchers in ML model development, data preprocessing, and model validation.
Jan 2025 - Dec 2025
1 year

Digital Twin Floorplan Generation (Python)

  • Processed 3D LIDAR point clouds with RANSAC and DBSCAN to generate accurate 2D floorplans.
Jan 2025 - Dec 2025
1 year

Transformer-Based Semantic Embedding Prototype (Python)

Self-directed

  • Prototyped semantic search using Sentence Transformers and FAISS vector similarity to explore domain-specific retrieval.
  • Compared cosine similarity and hybrid search strategies for identifying context-relevant plasma events.
  • Gained practical understanding of embeddings, vector stores, query expansion, and RAG workflows.
Feb 2024 - May 2024
4 months

Visiting Researcher (HPC AI Workflows)

National Center for High-Performance Computing (NCHC)

  • Automated data ingestion and analysis pipelines in HPC environments using Python and Linux-based scripting.
Jan 2024 - Dec 2025
2 years

Region Identification in Spacecraft Data using Machine Learning (Python)

  • Processed THEMIS spacecraft time series data, performed feature extraction, and trained supervised ML models.
  • Developed Random Forest and Neural Network classifiers using scikit-learn and TensorFlow to automate region identification.
Jan 2022 - Dec 2023
2 years

Magnetopause Location Modeling with ANN (IDL)

  • Trained an ANN to predict boundary locations using solar wind parameters, IMF orientation, and corrected Dst.
Oct 2021 - Sep 2025
4 years

Research Assistant

Charles University

  • Conducted AI-driven analysis of plasma environments using spacecraft data from THEMIS, Geotail, and Magion 4 missions.
  • Built predictive models to estimate magnetopause positions and classify solar wind regions.
  • Developed end-to-end data pipelines for feature extraction, normalization, and model training using Python and TensorFlow.
  • Applied machine learning models (neural networks, random forests) to classify complex satellite datasets.
Dec 2020 - Aug 2021
9 months

Telecom Pre-Deployment Engineer

Borje Noor

  • Designed FTTx broadband network topologies and optimized component selection using COMSof FTTx.
  • Supported planning for 5G infrastructure and coordinated with engineering and procurement teams.
Jul 2020 - Dec 2020
6 months
Remote

Remote Guest Researcher (Quantum Systems)

QuTech, TU Delft

  • Theoretically analyzed two-qubit photonic crystal systems and explored entanglement mechanisms in solid-state photonics.
Oct 2016 - Jun 2020
3 years 9 months

Research Assistant, Photonics Group

Shahrekord University

  • Simulated electromagnetic and photonic systems using COMSOL and Lumerical for sensing and energy harvesting applications.
  • Designed and optimized plasmonic waveguides, resonators, and solar cells.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Education (8 years), Space Exploration (4.5 years), Information Technology (1.5 years), Construction (1 year), Real Estate (1 year), and Telecommunication (0.5 years).

Education
Space Exploration
Information Technology
Construction
Real Estate
Telecommunication

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Research and Development (8.5 years), Information Technology (2 years), Product Development (1.5 years), and Procurement (0.5 years).

Research and Development
Information Technology
Product Development
Procurement

Summary

AI Engineer with a PhD in space physics and a strong background in applied machine learning, data pipelines, and scientific computing. Experienced in developing classification models using neural networks and decision trees for large-scale, domain-specific datasets.

Knowledgeable in modern NLP techniques including transformer-based models (e.g., BERT, GPT), vector similarity search, and retrieval-augmented generation (RAG). Strong Python programmer with expertise in TensorFlow, scikit-learn, and data visualization. Actively exploring LLM-based architectures and semantic search integration for specialized domains.

Skills

  • Python
  • Sql
  • Matlab
  • Idl
  • R
  • C++
  • Tensorflow
  • Keras
  • Pytorch
  • Scikit-learn
  • Huggingface Transformers
  • Sentence Transformers
  • Faiss
  • Opensearch
  • Pinecone
  • Docker
  • Azure
  • Git
  • Linux (Bash)
  • Ci/cd
  • Matplotlib
  • Seaborn
  • Spotfire
  • Ggplot2

Languages

English
Advanced
Czech
Elementary

Education

Charles University

PhD · space physics · Prague, Czech Republic

Certifications & licenses

Honored Certificate

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Maryam based?

Maryam is based in Prague, Czech Republic.

What languages does Maryam speak?

Maryam speaks the following languages: English (Advanced), Czech (Elementary).

How many years of experience does Maryam have?

Maryam has at least 9 years of experience. During this time, Maryam has worked in at least 10 different roles and for 7 different companies. The average length of individual experience is 1 year and 11 months. Note that Maryam may not have shared all experience and actually has more experience.

What roles would Maryam be best suited for?

Based on recent experience, Maryam would be well-suited for roles such as: AI Engineer / Data Scientist, Digital Twin Floorplan Generation (Python), Transformer-Based Semantic Embedding Prototype (Python).

What is Maryam's latest experience?

Maryam's most recent position is AI Engineer / Data Scientist at Space Physics Group, Charles University.

What companies has Maryam worked for in recent years?

In recent years, Maryam has worked for Space Physics Group, Charles University, Self-directed, National Center for High-Performance Computing (NCHC), Charles University, and Borje Noor.

Which industries is Maryam most experienced in?

Maryam is most experienced in industries like Education, Space Exploration and Travel, and Information Technology (IT). Maryam also has some experience in Construction, Real Estate, and Telecommunication.

Which business areas is Maryam most experienced in?

Maryam is most experienced in business areas like Research and Development (R&D), Information Technology (IT), and Product Development. Maryam also has some experience in Procurement and Purchasing.

Which industries has Maryam worked in recently?

Maryam has recently worked in industries like Education, Space Exploration and Travel, and Information Technology (IT).

Which business areas has Maryam worked in recently?

Maryam has recently worked in business areas like Research and Development (R&D), Information Technology (IT), and Product Development.

What is Maryam's education?

Maryam holds a Doctorate in space physics from Charles University.

Does Maryam have any certificates?

Maryam has 1 certificate: Honored Certificate.

What is the availability of Maryam?

The availability of Maryam needs to be confirmed.

What is the rate of Maryam?

Maryam's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Maryam?

To hire Maryam, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Market avg: 590-750 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.