Andrzej Kucik
AI Research Engineer at Helsing- Claim this Profile
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English Full professional proficiency
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Polish Native or bilingual proficiency
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Italian Elementary proficiency
Topline Score
Bio
Credentials
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SAR-400: Synthetic Aperture Radar: Foundations
University of Alaska FairbanksMay, 2023- Nov, 2024 -
Agile Project Management
GoogleMar, 2023- Nov, 2024 -
Google Project Management Specialization
GoogleMar, 2023- Nov, 2024 -
Project Planning: Putting It All Together
GoogleMar, 2023- Nov, 2024 -
Project Execution: Running the Project
GoogleFeb, 2023- Nov, 2024 -
Project Initiation: Starting a Successful Project
GoogleJan, 2023- Nov, 2024 -
Project Planning: Putting It All Together
GoogleJan, 2023- Nov, 2024 -
Foundations of Project Management
GoogleDec, 2022- Nov, 2024 -
New Space Economy
EPFL (École polytechnique fédérale de Lausanne)Nov, 2022- Nov, 2024 -
Italian3x: Italian Language and Culture: Advanced (2021-2022)
Wellesley CollegeNov, 2021- Nov, 2024 -
Advanced Deployment Scenarios with TensorFlow
DeepLearning.AIApr, 2021- Nov, 2024 -
Browser-based Models with TensorFlow.js
DeepLearning.AIApr, 2021- Nov, 2024 -
Data Pipelines with TensorFlow Data Services
DeepLearning.AIApr, 2021- Nov, 2024 -
Device-based Models with TensorFlow Lite
DeepLearning.AIApr, 2021- Nov, 2024 -
TensorFlow: Data and Deployment Specialization
DeepLearning.AIApr, 2021- Nov, 2024 -
Italian2x: Italian Language and Culture: Intermediate (2019-2020)
Wellesley CollegeFeb, 2021- Nov, 2024 -
Apply Generative Adversarial Networks (GANs)
DeepLearning.AINov, 2020- Nov, 2024 -
Build Better Generative Adversarial Networks (GANs)
DeepLearning.AINov, 2020- Nov, 2024 -
Generative Adversarial Networks (GANs) Specialization
DeepLearning.AINov, 2020- Nov, 2024 -
Build Basic Generative Adversarial Networks (GANs)
DeepLearning.AIOct, 2020- Nov, 2024 -
Italian1x: Italian Language and Culture: Beginner
Wellesley CollegeJul, 2020- Nov, 2024 -
Deep Learning Specialization
DeepLearning.AIFeb, 2018- Nov, 2024 -
Sequence Models
DeepLearning.AIFeb, 2018- Nov, 2024 -
Convolutional Neural Networks
DeepLearning.AIJan, 2018- Nov, 2024 -
Intro to Python for Data Science Course
DataCampJan, 2018- Nov, 2024 -
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AINov, 2017- Nov, 2024 -
Structuring Machine Learning Projects
DeepLearning.AINov, 2017- Nov, 2024 -
Neural Networks and Deep Learning
DeepLearning.AIOct, 2017- Nov, 2024 -
Louv1.1x: Paradigms of Computer Programming - Fundamentals
Université catholique de LouvainJan, 2016- Nov, 2024 -
Louv1.2x: Paradigms of Computer Programming - Abstraction and Concurrency
Université catholique de LouvainJan, 2016- Nov, 2024 -
CAMS.2x: Computing: Art, Magic, Science
ETH ZürichNov, 2015- Nov, 2024 -
DAT203x: Data Science and Machine Learning Essentials
MicrosoftNov, 2015- Nov, 2024
Experience
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Helsing
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Germany
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Software Development
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100 - 200 Employee
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AI Research Engineer
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Sep 2022 - Present
Using my expertise in AI and remote sensing to create and implement software aiming to protect our democracies. Using my expertise in AI and remote sensing to create and implement software aiming to protect our democracies.
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European Space Agency - ESA
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France
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Space Research and Technology
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700 & Above Employee
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DestinE Core Platform, Data and Applications Engineer
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May 2022 - Aug 2022
I have been delegating responsibility for the procurement, development, transfer to operations and maintenance of the Destination Earth (DestinE) Core Platform applications and data applications for end-users. This responsibility encompassed all aspects of the DestinE data lifecycle (generation, access, storage, catalogue), as well as the necessary environment for enabling use.The objective of the Destination Earth Initiative is to develop a very high-precision digital model of the Earth to monitor and simulate natural and human activity and to develop and test scenarios that would enable more sustainable development and support European environmental policies. DestinE will contribute to the European Commission’s Green Deal and Digital Strategy. It will unlock the potential of digital modelling of the Earth’s physical resources and related phenomena, such as climate change, water/marine environments, polar areas and the cryosphere, etc., on a global scale to speed up the green transition and help plan for major environmental degradation and disasters.The DestinE Initiative is implemented by ESA in partnership with ECMWF and EUMETSAT under the system authority of the European Commission (DG CNECT). The legal basis for the implementation of the initiative consists of three respective Contributing Agreements including a Technical Annex for each of the partners of DG CNECT, all of which were signed in November 2021. The DestinE Initiative is divided into three phases spanning the current MFF of the European Union (2021-27). The first phase will last from 2021 to end-2023 and will be financed by an overall budget of €150m from DG CNECT. ESA took a leadership role in the definition of the DestinE architecture and its operational services. ESA is responsible for the DestinE Core Service Platform implementation and operations, as well as the DestinE system integration and validation. Show less
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Internal Research Fellow in Artificial Intelligence for Earth Observation
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Sep 2020 - Apr 2022
In the Φ-lab division of the European Space Agency, I work on adapting and developing AI models for Earth observation datasets. This includes state-of-the-art deep learning (U-Net, GANs, etc.) applied to cryosphere problems, as well as novel experimental approaches, such as developing neuromorphic algorithms for the use onboard small satellites. I also assist in the business outreach of the Φ-lab, linking space-related research with the industry.
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mindtrace.ai
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United Kingdom
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Software Development
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1 - 100 Employee
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Researcher
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Jul 2018 - Jul 2020
I conducted research in machine learning and artificial intelligence, with a special interest in computer vision. My main focus areas were: - neuromorphic algorithms implemented on neuromorphic hardware platforms, using data provided by neuromorphic sensors (I authored a UK patent application GB106476.5 in this field of research), - zero-, one-, and few-shot learning - robust learning from limited datasets, - generative deep convolutional neural networks, such as generative adversarial networks and variational autoencoders, with the focus of obtaining optimal latent representations. - transfer learning; cross-domain or unsupervised to supervised. The research that I performed was both theoretical and practical. For the latter, I rely on my expertise in Python, TensorFlow, Keras, OpenCV, and AWS. Show less
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The University of Manchester
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United Kingdom
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Higher Education
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700 & Above Employee
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Teaching Assistant
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Sep 2017 - Jan 2018
I was a Teaching Assistant for COMP11120 Mathematical Techniques for Computer Science, which is a first-year course introducing the students of computer sciences to fundamental mathematical concepts in number systems, set theory, logic, and probability theory. I was a Teaching Assistant for COMP11120 Mathematical Techniques for Computer Science, which is a first-year course introducing the students of computer sciences to fundamental mathematical concepts in number systems, set theory, logic, and probability theory.
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University of Leeds
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United Kingdom
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Higher Education
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700 & Above Employee
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Postgraduate Tutor and Invigilator
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Oct 2013 - Jul 2017
I was delivering tutorials for a group of students varying in size from 15 to 50, helping them to solve the problems that they had been assigned to work on, giving individual tuition to some of the students, marking students’ homework and exam scripts, and supervising computer workshops. Courses taught: First-year modules: - MATH1010 Mathematics 1 - elementary single - and multivariable calculus, elementary linear algebra. - MATH1050 Calculus and Mathematical Analysis. - MATH1060 Introductory Linear Algebra. - MATH1331 Linear Algebra with Applications - elementary linear algebra, linear programming, stochastic matrices, and simple Markov processes. - MATH1510 Financial Mathematics 1 - interest rates, annuities, perpetuities, loans, cash flow models, investment project appraisal, bonds. Second-year modules: - MATH2016 Analysis - real and complex analysis. As an invigilator, I was working under the direction of the Lead Invigilator to facilitate the smooth and efficient running of the formal examination. Assisting with the preparation of the examination venue. Observing the candidates and ensuring that the examination regulations are followed. Show less
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University of Aberdeen
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United Kingdom
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Higher Education
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700 & Above Employee
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College of Physical Sciences Administration Intern
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Jun 2012 - Sep 2012
I was leading a project analysing the existing undergraduate and postgraduate University records, in order to create detailed population profiles of applicants to and students graduating from college programmes. The aim of performing this quantitative and qualitative analysis was to create a procedural action plan with recommendations for the College, that would help in attracting new applicants from overlooked backgrounds and areas. My duties also included assisting the admission process for the postgraduate programmes. Show less
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Education
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2017 - 2020
The University of Manchester
Master of Philosophy - MPhil, Computer Science -
2013 - 2017
University of Leeds
Doctor of Philosophy (Ph.D.), Analysis and Functional Analysis -
2009 - 2013
University of Aberdeen
Master of Arts - MA, Mathematics -
2006 - 2009
I Liceum Ogólnokształcące w Prudniku
High School, Biology, chemistry, physics, mathematics
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