Collaborating with a dynamic team to streamline and curate technology-based educational content for Youth Dream Canada. Overseeing the organization and dissemination of coding resources, ensuring relevance and alignment with current tech trends. Leveraging my expertise to assist in refining the tech curriculum, providing students with a comprehensive and updated toolkit for their digital journeys. Acting as a bridge between technology innovations and youth engagement, fostering a tech-forward learning environment.

At Startgbc, I led the development of an AI-driven news summarization application designed for the digital age. My tasks spanned from initial market research to project deployment. This research informed our application's design, emphasizing user preferences. My primary responsibility was crafting an AI algorithm, using advanced Natural Language Processing techniques, to curate and condense diverse news sources into precise summaries. Collaborating with a team, I also oversaw UI/UX design, ensuring an intuitive user experience. Additionally, I managed stakeholder communications and pursued potential partnerships with publication houses. This venture honed both my technical expertise and skills in project management and stakeholder engagement.

Worked for several clients and managed to successfully produce powerful kpi dashboards of the marketing data of clients. Helped them reduce CPC to up-to 35%. Dashboards increased the client retention of PRSN Media significantly.

I worked as a full stack developer and my daily tasks include working on Angular 7 for front-end and C# for API's. We use SSMS for Database and I constantly tried to take challenges to achieve maximum efficiency by reducing the time of API's by restructuring my queries.

I used various Machine Learning algorithms including (K-NN and Random Forest) to predict the Annual profits of an organization. As many as 22 factors such as Location, Population, Type of customer, Season of sale, Product pricing etc. were taken into account and achieved 84% accuracy using Random forest algorithm.