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I'm a researcher and ML/CV engineer with over 2 years of hands-on experience applying deep learning to medical imaging and cancer prevention. I've built end-to-end deep learning solutions using CNNs, RNNs (LSTM, GRU), transfer learning, and few-shot learning to boost accuracy and generalization. I also have a strong background in NLP and applied Large Language Models for document generation and text analysis, and I'm comfortable with end-to-end ML workflows, MLOps, and deploying models in industrial settings. Beyond ML, I’ve contributed to cybersecurity research with CHERI/Morello architecture, memory-safety testing, static analysis, and attack simulations for OT/SCADA environments, translating findings into practical recommendations. I enjoy turning research into industry-adapted AI solutions and collaborating across disciplines to deliver robust, scalable AI systems.…I'm a researcher and ML/CV engineer with over 2 years of hands-on experience applying deep learning to medical imaging and cancer prevention. I've built end-to-end deep learning solutions using CNNs, RNNs (LSTM, GRU), transfer learning, and few-shot learning to boost accuracy and generalization. I also have a strong background in NLP and applied Large Language Models for document generation and text analysis, and I'm comfortable with end-to-end ML workflows, MLOps, and deploying models in industrial settings. Beyond ML, I’ve contributed to cybersecurity research with CHERI/Morello architecture, memory-safety testing, static analysis, and attack simulations for OT/SCADA environments, translating findings into practical recommendations. I enjoy turning research into industry-adapted AI solutions and collaborating across disciplines to deliver robust, scalable AI systems.

Simonas Stasytis

Data Scientist, AI Engineer, AI Developer, +2

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I'm a researcher and ML/CV engineer with over 2 years of hands-on experience applying deep learning to medical imaging and cancer prevention. I've built end-to-end deep learning solutions using CNNs, RNNs (LSTM, GRU), transfer learning, and few-shot learning to boost accuracy and generalization. I also have a strong background in NLP and applied Large Language Models for document generation and text analysis, and I'm comfortable with end-to-end ML workflows, MLOps, and deploying models in industrial settings. Beyond ML, I’ve contributed to cybersecurity research with CHERI/Morello architecture, memory-safety testing, static analysis, and attack simulations for OT/SCADA environments, translating findings into practical recommendations. I enjoy turning research into industry-adapted AI solutions and collaborating across disciplines to deliver robust, scalable AI systems.…I'm a researcher and ML/CV engineer with over 2 years of hands-on experience applying deep learning to medical imaging and cancer prevention. I've built end-to-end deep learning solutions using CNNs, RNNs (LSTM, GRU), transfer learning, and few-shot learning to boost accuracy and generalization. I also have a strong background in NLP and applied Large Language Models for document generation and text analysis, and I'm comfortable with end-to-end ML workflows, MLOps, and deploying models in industrial settings. Beyond ML, I’ve contributed to cybersecurity research with CHERI/Morello architecture, memory-safety testing, static analysis, and attack simulations for OT/SCADA environments, translating findings into practical recommendations. I enjoy turning research into industry-adapted AI solutions and collaborating across disciplines to deliver robust, scalable AI systems.

Available to hire

I’m a researcher and ML/CV engineer with over 2 years of hands-on experience applying deep learning to medical imaging and cancer prevention. I’ve built end-to-end deep learning solutions using CNNs, RNNs (LSTM, GRU), transfer learning, and few-shot learning to boost accuracy and generalization. I also have a strong background in NLP and applied Large Language Models for document generation and text analysis, and I’m comfortable with end-to-end ML workflows, MLOps, and deploying models in industrial settings.

Beyond ML, I’ve contributed to cybersecurity research with CHERI/Morello architecture, memory-safety testing, static analysis, and attack simulations for OT/SCADA environments, translating findings into practical recommendations. I enjoy turning research into industry-adapted AI solutions and collaborating across disciplines to deliver robust, scalable AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Lithuanian

Fluent

Work Experience

Research Associate at University of Strathclyde

June 30, 2025 - August 26, 2025

Worked on the DSbD project testing and implementing a prototype Morello system for potential OT systems. Investigated memory vulnerabilities in x86 systems using C/C++ by creating test attack scenarios to demonstrate the Morello system's safety capabilities. Analyzed alignment of Morello's safety features with current safety standards and identified potential issues in the prototype. Provided recommendations for future improvements necessary for industry integration. Conducted research in breast cancer classification using mammography images, analyzing state-of-the-art deep learning methods for computer vision and exploring solutions to create more generalizable models using few-shot algorithms.

Research Intern at Lupovis

September 30, 2021 - August 26, 2025

Conducted research investigating methods to generate synthetic documents as honeypots for compromised systems. Leveraged NLP models to create realistic, professional-looking documents for system development purposes.

Research Associate at University of Strathclyde, Glasgow

June 1, 2025 - September 28, 2025

Researched the application of deep learning to mammography images with the goal of improving early breast cancer detection and prevention. Developed models with transfer learning, CNNs, and few-shot learning; implemented data preprocessing and augmentation to address dataset imbalance; evaluated using ROC-AUC, F1-score, and precision-recall; optimized training with hyperparameter tuning and regularization to improve robustness.

Research Intern at Lupovis, Glasgow

September 1, 2021 - September 28, 2025

Explored synthetic documents as cybersecurity deception mechanisms in compromised systems. Researched methods for generating synthetic documents to act as honey pots, and leveraged NLP models to produce realistic documents for future system integration.