
Fatemeh Salehi
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Fatemeh Salehi
- Current 2 years and 2 months, since Apr 2024
Research Assistant
The University of Bonn
Solely developed a C++ plugin for Unreal Engine, using neural networks to map SMPLX to MetaHuman models with high precision. Optimized mapping algorithms by minimizing geometric discrepancies and integrating advanced statistical and neural methods. Independently designed and tested workflows, ensuring model accuracy and computational efficiency. Managed all technical and developmental aspects while collaborating on project goals.
- 2 years and 6 months, Oct 2021 - Mar 2024
Data Analysis and Technical Support
Siegwerk
Collaborated in a team to develop a data collection software for color matching labs, integrating photometers to capture goal colors, recipes, and final color values, ensuring accurate and efficient data processing. Optimized database queries for large datasets, improving reporting performance. Conducted root cause analyses and resolved tickets in collaboration with international teams. Automated data processing and color space conversion tasks using Python, enhancing accuracy and efficiency.
- 8 months, May 2020 - Dec 2020
Engine Programmer
Vision Fanafzar Tose
Design a scripting language and develop a compiler for this language in C++ language(Owner). Develop a configuration system for the engine. Write unit tests for the systems.
- 5 months, Oct 2017 - Feb 2018
Research and Teaching Assistant
Amirkabir University of Technology
Computer Graphics (Prof. A. Bagheri)
- 5 months, Jun 2017 - Oct 2017
Software Engineer
Fanap Payment Company
Analysis and Requirement Management of software systems. Business Process Re-engineering by designing new workflows and processes based on agile methodologies.
Ausbildung von Fatemeh Salehi
- 3 years and 5 months, Aug 2021 - Dec 2024
Computer Science
University of Bonn
Thesis Title: E cient Surface Irradiance Estimation from Neural Radiance Field
- 4 years and 3 months, Oct 2015 - Dec 2019
Software Engineering
Amirkabir University of Technology
Sprachen
English
C1 (Fließend)
German
A1-A2 (Grundkenntnisse)
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