Maryam Aghabozorgi
AI Engineer / Data Scientist
Experience
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.
Digital Twin Floorplan Generation (Python)
- Processed 3D LIDAR point clouds with RANSAC and DBSCAN to generate accurate 2D floorplans.
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.
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.
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.
Magnetopause Location Modeling with ANN (IDL)
- Trained an ANN to predict boundary locations using solar wind parameters, IMF orientation, and corrected Dst.
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.
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.
Remote Guest Researcher (Quantum Systems)
QuTech, TU Delft
- Theoretically analyzed two-qubit photonic crystal systems and explored entanglement mechanisms in solid-state photonics.
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
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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).
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).
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
Education
Charles University
PhD · space physics · Prague, Czech Republic
Certifications & licenses
Honored Certificate
Profile
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