Here are some of the exciting roles I have had, where I have grown my skills and contributed to impactful projects.

Software Developer
Nov 2024 - Present

Building Financial & Actuarial Solutions for Global Clients.

Experience: 6 months

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⚑ Develop and enhance dynamic front-end user interfaces using modern web technologies.

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πŸ“Š Design and implement interactive dashboards with UI charts and visualization libraries for data-driven insights.

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πŸ”— Integrate front-end components seamlessly with back-end scripts and machine learning models to ensure efficient data flow.

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πŸš€ Optimize backend performance by scaling FastAPI routes and implementing persistent data solutions for frequent queries.

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πŸ’» Maintain and improve desktop applications using Python and PySide, ensuring smooth performance and user experience.

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🐞 Debug, test, and refine code to enhance application functionality, performance, and reliability.

python: pyqt and fastapireactapex charts and plotlyifrs 17 life and non life
Software Developer
MERN Stack Developer
April 2024 - Oct 2024

Led the development of dynamic web and mobile applications with a focus on user engagement and scalability.

Experience: 7 months

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🌐 Integrated Web3 wallets (MetaMask and Solana Phantom) into React.js applications, boosting customer acquisition by 30%.

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πŸ” Developed and deployed secure REST APIs, ensuring robust backend services for multiple applications.

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πŸ“± Enhanced shopping app traffic by 15% through the implementation of deep links and QR code features inside the Flutter App.

mernflutterweb3rest apisdjango
MERN Stack Developer
NORPART CONNECT Research
August 2023 - February 2024

Focused on advanced research methodologies and practical applications in data science and AI while experiencing international academic culture.

Experience: 7 months

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🌍 Collaborated with global experts on AI-driven educational research, focusing on imaging technologies.

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πŸ“š Participated in international projects exploring the application of artificial intelligence in education.

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πŸ” Designed and conducted experiments, collected and analyzed data to improve diffusion and transfer learning models.

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πŸ—ΊοΈ Implemented and fine-tuned state-of-the-art machine learning models using both fundamental and advanced techniques, such as self-supervised learning, diffusion models, and transformers.

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πŸ‘₯ Activities and Societies: Visited key European cities including Lillehammer, Oslo, Warsaw, Prague, Vienna, Venice, and Milan as part of the cultural exchange and research collaboration program.

pythonpytorchfacial emotion recognitiondeep learningdata scienceaimachine learningdiffusion modelstransfer learninginternational exposure
NORPART CONNECT Research