Shabnam Pesteh
Senior Applied Research Scientist at Unlikely AI- Claim this Profile
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English Full professional proficiency
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French Limited working proficiency
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Persian Native or bilingual proficiency
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Portuguese Limited working proficiency
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Arabic Elementary proficiency
Topline Score
Bio
Wing Hym Liu
Shabnam was one of the best applied scientists I’ve worked with and she would actively help the software engineers with the support rota and dev ops. She has a great talent for data exploration, machine learning and communicating the experiment results to our peers and leaders. She’s patient, approachable and is always available to explain her deep dives to the team.
Wei Liu
Shabnam is one of the most focused scientists I've worked with. When faced with ambiguous problems she uses data to navigate through the problem and set targets. Her impressive communication skills (both verbal and written) is another highlight, not only did it speed up our research but also provided long term knowledge building in the team, a great asset for any tech company. I'll be more than happy to work with Shabnam again and I am confident anyone else would feel the same.
Wing Hym Liu
Shabnam was one of the best applied scientists I’ve worked with and she would actively help the software engineers with the support rota and dev ops. She has a great talent for data exploration, machine learning and communicating the experiment results to our peers and leaders. She’s patient, approachable and is always available to explain her deep dives to the team.
Wei Liu
Shabnam is one of the most focused scientists I've worked with. When faced with ambiguous problems she uses data to navigate through the problem and set targets. Her impressive communication skills (both verbal and written) is another highlight, not only did it speed up our research but also provided long term knowledge building in the team, a great asset for any tech company. I'll be more than happy to work with Shabnam again and I am confident anyone else would feel the same.
Wing Hym Liu
Shabnam was one of the best applied scientists I’ve worked with and she would actively help the software engineers with the support rota and dev ops. She has a great talent for data exploration, machine learning and communicating the experiment results to our peers and leaders. She’s patient, approachable and is always available to explain her deep dives to the team.
Wei Liu
Shabnam is one of the most focused scientists I've worked with. When faced with ambiguous problems she uses data to navigate through the problem and set targets. Her impressive communication skills (both verbal and written) is another highlight, not only did it speed up our research but also provided long term knowledge building in the team, a great asset for any tech company. I'll be more than happy to work with Shabnam again and I am confident anyone else would feel the same.
Wing Hym Liu
Shabnam was one of the best applied scientists I’ve worked with and she would actively help the software engineers with the support rota and dev ops. She has a great talent for data exploration, machine learning and communicating the experiment results to our peers and leaders. She’s patient, approachable and is always available to explain her deep dives to the team.
Wei Liu
Shabnam is one of the most focused scientists I've worked with. When faced with ambiguous problems she uses data to navigate through the problem and set targets. Her impressive communication skills (both verbal and written) is another highlight, not only did it speed up our research but also provided long term knowledge building in the team, a great asset for any tech company. I'll be more than happy to work with Shabnam again and I am confident anyone else would feel the same.
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Experience
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Unlikely AI
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United Kingdom
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Software Development
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1 - 100 Employee
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Senior Applied Research Scientist
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Jun 2023 - Present
Building the capabilities of a novel transformative technology that is aimed at more accurate, trustworthy, explainable, and safe AI systems. Building the capabilities of a novel transformative technology that is aimed at more accurate, trustworthy, explainable, and safe AI systems.
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Amazon
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Bangladesh
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Advertising Services
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1 - 100 Employee
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Applied Research Scientist
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2020 - May 2023
Developing Spoken Language Understanding (SLU) and Natural Language Processing (NLP) for Alexa AI Question Answering. I was responsible for recovering from speech recognition errors so that Alexa could answer factual questions accurately across nine languages, improving how customers interact with Amazon’s products and services. That included using large transformer-based models within the virtual assistant context, predicting fatal errors in customer traffic, and recovering from them using novel and scalable techniques. Show less
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Research Engineer
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2017 - 2020
Developing predictive models based on information theory, neural networks, and Monte Carlo simulations to improve the stability and robustness of energy grids in breakdown scenarios. I used measurements from many edge devices to make the predictions more resilient to anomalies. Developing predictive models based on information theory, neural networks, and Monte Carlo simulations to improve the stability and robustness of energy grids in breakdown scenarios. I used measurements from many edge devices to make the predictions more resilient to anomalies.
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Research Engineer
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2013 - 2016
Designing time series forecasting models to control energy consumption in public buildings. I was responsible for generating predictive models and control techniques to forecast ambient variables (i.e., outside air temperature and solar radiation) to control HVAC systems. That included using radial basis function networks, autoregressive models, and evolutionary algorithms. Designing time series forecasting models to control energy consumption in public buildings. I was responsible for generating predictive models and control techniques to forecast ambient variables (i.e., outside air temperature and solar radiation) to control HVAC systems. That included using radial basis function networks, autoregressive models, and evolutionary algorithms.
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Control System Engineer
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2009 - 2013
Researching trends of new technologies in process control for the steel industry. I was responsible for the robustness and optimality analysis of the current production settings. Researching trends of new technologies in process control for the steel industry. I was responsible for the robustness and optimality analysis of the current production settings.
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Education
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Faculdade de Engenharia da Universidade do Porto
Doctor of Philosophy - PhD (MIT Portugal), Application of information theoretic learning in sustainable energy systems -
Universidade do Algarve
Integrated Master in Engineering, Electronic and Telecommunications Engineering -
University of Najafabad
Master of Science in Engineering (M.Sc.), Control Systems Engineering -
University of Najafabad
Bachelor of Science in Engineering (B.Sc.), Telecommunication Engineering