Yogesh M

I’m an MCA candidate building hands-on AI and data products across Generative AI, Machine Learning, NLP, and Computer Vision. I’ve worked on AI-powered workflows that support real-world business scenarios and help communicate insights clearly to non-technical stakeholders.

As an Artificial Intelligence Intern, I engineered solutions using Prompt Engineering, Generative AI, and ML workflows. I also developed interactive data visualization and visual storytelling dashboards, and contributed to evaluating AI solution feasibility through scenario planning.

I’ve strengthened my data foundation through an AI–Data Quality Analyst (Training Program), completing training across the data analytics lifecycle—from collection and cleaning to visualization and reporting. I delivered a capstone demonstrating end-to-end data analytics pipeline development and applied interpretation techniques to extract actionable insights.

I’m a published researcher and developer, including a peer-reviewed paper on a real-time assistive mobile application for visually impaired people using object detection. I’m passionate about teaching, academic mentoring, and advancing research and innovation in Computer Science education.