Freelance Software Engineer

• Jul 2023 - Present

Trainee

• Sep 2022 - Jul 2023

As a Trainee on the signal processing team, I played a crucial role in constructing comprehensive datasets aimed at training state-of-the-art machine learning models. Our primary objective was to develop robust models capable of accurately predicting Blood Pressure levels in patients at specific time points. Through the analysis and processing of over 1000 Photoplethysmogram (PPG) signals, I successfully curated a high-quality dataset. Leveraging this dataset, I meticulously trained the machine learning model over a span of 24 hours, employing advanced techniques to ensure optimal performance. To evaluate the model's accuracy, I utilized scatter plots enriched with regression trend lines, enabling me to gauge its effectiveness in predicting Blood Pressure. It was an enriching experience contributing to this cutting-edge project and advancing the field of healthcare through data-driven insights. Show less

kansainvälinen vaihto-opiskelija

• Jan 2023 - May 2023

Data Science Intern

• Feb 2022 - Apr 2023

As a Data Science intern on the esteemed Machine Learning team, I contributed to the development of innovative techniques aimed at revolutionizing the hiring process, ensuring a seamless experience for both candidates and employers. My primary focus was on implementing a cutting-edge model that assigns a comprehensive score, ranging from 0 to 5, to candidates based on the skills and experiences outlined in their resumes. To enhance the model's functionality, we continuously refined it to provide scoring insights in each hiring round. During my tenure, I dedicated significant efforts to train the machine learning model using Reinforcement Learning techniques. This involved an extensive period of over a month, during which I meticulously curated and processed a vast dataset comprising 10,000+ data points. By leveraging Reinforcement Learning, I ensured the model's ability to learn and improve over time, ultimately enhancing its predictive accuracy and reliability. To assess the model's performance, I employed the technique of rectangular binning in conjunction with regression trend lines. This approach enabled me to comprehensively analyze the accuracy and error rates of the model, ensuring its alignment with our team's objectives and the needs of the hiring process. Working on this groundbreaking project as a Data Science intern has been an incredible learning experience, allowing me to contribute to the advancement of talent acquisition through data-driven insights and innovative machine learning methodologies. Show less

Junior Associate - Python Django Intern

• Dec 2021 - Apr 2022

During my tenure as a Junior Associate on the front-end team, I played an integral role in the development of a cutting-edge website leveraging WEB3 technology. Our primary objective was to harness the power of WEB3 to create an enhanced user experience. To achieve this, we utilized the Django library, a dynamic web framework written in Python, which facilitated the seamless rendering of our website. Throughout my term, I actively contributed to three major projects. Firstly, our team successfully built a task management system that significantly improved employee efficiency, resulting in an impressive 15% boost in productivity. This accomplishment showcased our team's ability to create practical solutions that directly impacted daily operations. Additionally, I had the opportunity to work on a search engine project for a biotechnology client company. This search engine, specifically tailored to their needs, allowed users to efficiently search for specific enzymes. By developing this advanced search functionality, we provided the client with a powerful tool to navigate their vast database of biotechnological information. As a culmination of my internship, I undertook the development of a website dedicated to showcasing the latest projects of the Machine Learning team. The focus of this particular project was the development of machine learning models designed to aid in the detection of cancer in humans. By crafting an informative and engaging website, I effectively communicated the team's groundbreaking work to a wider audience, highlighting the potential impact of our research in the healthcare domain. Working as a Junior Associate on the front-end team not only enhanced my technical skills but also deepened my understanding of collaborative project management. These experiences have fueled my passion for front-end development and my commitment to contributing to the advancement of cutting-edge web applications. Show less