Available to hire
Hi, I’m Maryam Mohebi, an AI Engineer passionate about building and evaluating machine learning systems. I have hands-on experience ranging from synthetic data generation to ensuring fairness and data privacy in AI models. Recently, I’ve been diving into the exciting world of LLM-based AI agents and autonomous systems.
I love applying advanced AI techniques to solve real-world problems with creativity, integrity, and responsibility. Whether working independently or collaborating in a team, I enjoy managing projects from concept to deployment, continuously learning and contributing to AI innovations.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Advanced
German
Beginner
Work Experience
Research Assistant at CalgoLab, Berliner Hochschule für Technik
March 31, 2025 - July 21, 2025Developed and evaluated machine learning models for synthetic tabular data generation using Python, NumPy, Pandas, and AutoGluon. Applied over 50 evaluation metrics for benchmarking models, including statistical similarity, fidelity, utility, and privacy, and created reproducible evaluation pipelines. Conducted fairness analysis and model explainability using SHAP, causal inference, and fairness libraries. Built a Python package for data generation and evaluation, published for internal and external use. Created interactive demos and designed a REST API using FastAPI and Flask, integrated with Docker and Kubernetes for containerized deployment. Led data analysis, feature engineering, and optimization workflows with Optuna and ML pipelines. Contributed to internal demos, documentation, and collaborative presentations. Worked both independently and in a team setting, managing full tasks from idea to deployment.
Research Assistant at CalgoLab, Berliner Hochschule für Technik
March 31, 2025 - July 21, 2025Developed and evaluated machine learning models for synthetic tabular data generation using Python, NumPy, Pandas, and AutoGluon. Applied over 50 evaluation metrics to benchmark models on criteria such as statistical similarity, fidelity, utility, and privacy, creating reproducible evaluation pipelines. Conducted fairness analysis and model explainability with SHAP, causal inference, and fairness libraries. Built a Python package for data generation and evaluation, published for internal and external use, along with interactive demos. Designed REST APIs using FastAPI and Flask and deployed using Docker and Kubernetes. Led data analysis, feature engineering, and optimization workflows leveraging Optuna and ML pipelines. Contributed actively to demos, documentation, and presentations while working independently and collaboratively.
Education
Master at Berliner Hochschule für Technik (BHT)
October 1, 2022 - February 28, 2025Bachelor at Azad University of Parand
October 1, 2009 - January 31, 2013Master at Berliner Hochschule für Technik (BHT)
October 1, 2022 - February 28, 2025Bachelor at Azad University of Parand
October 1, 2009 - January 31, 2013Qualifications
Industry Experience
Software & Internet, Healthcare, Professional Services, Education, Life Sciences
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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