Hey, I'm Henry Krukauskas.
I’m a recent graduate from New York University with a dual degree in Data Science and Business & Finance. Currently, I am working as software engineer at a Miami based startup called Rothcore.
Check out my projects
About Me
Hello! I'm Henrikas Krukauskas, an enthusiastic software engineer specializing in data analytics and data science with keen passion for AI and ML, currently leading front-end development at Rothcore, a Miami-based startup. With a robust foundation in Data Science and Business & Finance from New York University, I thrive on using cutting-edge technologies to derive meaningful insights and deliver impactful data-driven solutions.
My technical toolkit is rich with expertise in Python, JavaScript, Vue.js, Nuxt.js, D3.js, Flask, Django, Laravel, Typescript, HTML, CSS, Tailwind CSS, React.js, Redux, SQL, Docker, AWS Services, and a suite of machine learning libraries, enabling me to craft intuitive user interfaces, dynamic visualizations, and efficient data analytics platforms. At Rothcore, I'm leading projects that have revolutionized the way commodity research data is analyzed and visualized, enhancing user experience and operational efficiency.
Previously, as a software engineering intern at YMY Solutions, I honed my skills in developing REST APIs and optimizing React.js applications. My tenure as a financial analyst intern at Pelninga Investicija MB in Lithuania allowed me to lead a project on automated financial modeling, using machine learning for improved forecasts. These experiences have cemented my problem-solving skills and my ability to adapt to fast-paced environments.
My academic journey at NYU, coupled with my role as Senator at Large representing Baltic and Eastern European students, has broadened my perspective, preparing me for the complexities of the global professional world. I'm particularly proud of my contributions to projects like the detection of wash trading on AMM Decentralized Exchanges and the classification of Arabic handwritten characters, which showcase my ability to apply machine learning algorithms to solve real-world problems.
Outside the professional sphere, I'm a cultural enthusiast and polyglot, fluent in Lithuanian, Russian, English, and advanced in Mandarin Chinese. Additionally, I am learning Spanish and Japanese. This linguistic ability enriches my global outlook and enhances my collaborative work with diverse teams.
Thank you for stopping by my website. I'm eager to connect and explore how we can collaborate on future projects or if you'd like to provide me with a job opportunity. Feel free to reach out through the contact details provided here for any inquiries or opportunities.
My Projects
Wash Trading Detection on AMM Decentralized Exchanges
This research project aimed to detect and quantify wash trading in Automated Market Maker Decentralized Exchanges (AMM DEXs) like Pancake Swap.
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Arabic Handwritten Characters Classification Using Logistic Regression, SVM, and Neural Networks
A dataset of 16,800 32x32 RGB images was used to test three machine learning algorithms, Support Vector Machine, Logistic Regression, and Convolutional Neural Network.
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