Sepideh Najafinia
AI Engineer at FARobot- Claim this Profile
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English Professional working proficiency
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Persian Native or bilingual proficiency
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Chinese Elementary proficiency
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Azerbaijani Native or bilingual proficiency
Topline Score
Bio
Credentials
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IELTS- Accademic
IDP Education LtdSep, 2022- Nov, 2024 -
Teacher Training Course (T.T.C) in teaching English as a foreign language
-Oct, 2013- Nov, 2024
Experience
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FARobot
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Taiwan
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IT Services and IT Consulting
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1 - 100 Employee
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AI Engineer
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Jul 2022 - Present
*Designing and developing a smart platform employing Machine Learning models and Explainable Artificial Intelligence (XAI) methods to analyze and enhance robot performance metrics. *Applying innovative Machine Learning techniques to forecast and improve robot performance, ensuring the effective operation of robotic systems. *Implementing XAI methods like LIME, SHAP, and Anchor to provide understandable insights into the functioning and decision-making of the developed Machine Learning models. *Working on the development of a decentralized navigation system for multi-robot operations within warehouse environments, enhancing operational efficiency and autonomous functionality. *Researching, prototyping, and implementing algorithms for multi-robot coordination, path planning, and obstacle avoidance. *Collaborating with cross-functional teams for system integration, testing, and debugging, ensuring the robustness of developed solutions. *Documenting all stages of system design, development, and testing for future reference and knowledge sharing. Show less
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National Yunlin University of Science and Technology
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Higher Education
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1 - 100 Employee
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Research Assistant
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Sep 2021 - Present
* Conducting comprehensive research on the application of federated learning in Unmanned Aerial Vehicles (UAVs), with a focus on understanding their autonomous functionality and learning capabilities. * Designing, and developing, chatbots for customer inquiries and language learning applications using RASA, and leveraging natural language processing (NLP) deep learning algorithms such as BERT and DIET Classifier. *Applying Explainable Artificial Intelligence (XAI) algorithms such as LIME, Anchor, and SHAP, to enhance the understanding and transparency of object recognition algorithms and their results. * Executing Simultaneous Localization and Mapping (SLAM) navigation for a wheelchair robot within a hospital environment, utilizing Gmapping and integrating Gazebo, Robot Operating System (ROS), and RViz for optimal performance. * Undertaking drone-related projects including visual drone object following, exploring improvements in autonomy of drone operations. * Continually staying updated with the latest advancements in AI, deep learning, and robotics to drive innovative approaches and solutions. * Documenting all project findings, decisions, and developments in a clear and accessible manner for future reference and knowledge sharing. Show less
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Ofogh Sanaat Paydar Zangan
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Zanjan Province, Iran
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Embeded system developer
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Dec 2016 - Apr 2020
* Design and develop systems based on GSM/GPRS module with STM32 and AVR microcontrollers * Design and implement compression and tension load cell amplifier circuit * Design and develop systems based on GSM/GPRS module with STM32 and AVR microcontrollers * Design and implement compression and tension load cell amplifier circuit
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Education
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2018 - 2021
Shahid Beheshti University
Master's degree, Electrical and Electronics Engineering -
2013 - 2017
University of Zanjan
Bachelor of science in Electrical Engineering, Control systems
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