Thrilled to embark on the next chapter, I've recently become a part of the IT class program at ING, a residency-style initiative focused on fostering growth and innovation. I look forward with great anticipation to the remarkable opportunities that await in this dynamic environment. Let's connect and explore the exciting possibilities together!
Passionate about harnessing the power of machine learning to address intricate challenges, I specialize in Fake News detection, Named Entity Recognition, and low resource-based NLP. My professional journey has been marked by a commitment to continuous learning and seeking new opportunities for knowledge expansion.
With a solid foundation built through internships and collaborative projects, I've acquired valuable experience in Deep Learning architectures and stayed abreast of the latest trends in NLP research. Notably, I contributed to Shell's innovative projects, designing and integrating deep-learning models for esp32 microcontrollers during my internship. In my role as a machine learning engineer at Neurowide, I successfully enhanced speech-to-text models for live meetings, showcasing my dedication to driving impactful solutions.
