While the company was initially started as a means to fund his studies and living costs, he has since then expanded his skillset to be able to do as many different projects as possible, from web development and website design to data analytics and data science. Each skill is learned carefully to ensure that the best quality products are developed.
Web development is primarily done using the MERN stack: MongoDB, Express, ReactJS, NodeJS, but frameworks such as C# .NET Core have also been used. Python is used for data analytics and machine learning solutions, incorporating popular ML libraries, such as Tensorflow, PyTorch, Keras, Scikit-learn, NLTK, and TextBlob for projects involving natural language processing, predictive analysis, and computer vision. For data visualisation and dashboard creation, tools such as Tableau, Seaborn, and Matplotlib are used.