Dhruv Pandey

AI and Business Development Intern @ Hornbill Ag | AI and Data Analytics | B.Sc Computer Science @ Ashoka University

Bengaluru, Karnataka, India

About

I am a Computer Science student at Ashoka University with a deep interest in Artificial Intelligence, data-driven innovation, and their applications for social good. My academic journey and internships have allowed me to explore AI at the intersection of agriculture, nutrition, and sustainability, while also building strong foundations in software development, data analysis, and UI/UX design. Over the years, I have had the privilege of contributing to projects ranging from developing websites and visual assets to analyzing large datasets and categorizing AI use cases for impact. Beyond technical work, I enjoy taking on leadership roles that let me shape communities. As Head of Social Media and Marketing for the Computer Science Society at Ashoka, I focus on increasing engagement and visibility, ensuring that initiatives reach and inspire a wider audience. At my core, I am driven by the belief that AI should serve a greater purpose—empowering people, advancing sustainability, and improving lives. Looking ahead, I aspire to build solutions that lie at the crossroads of technology, impact, and accessibility. Always open to conversations around AI for good, sustainable tech, and interdisciplinary innovation.

Experience

  • AI and Business Development Intern at Hornbill Ag
    Jun 2026 - Present · 2 mos

  • Computer Science Society - Ashoka University (Haryana, India · On-site)
    • Head of Department for Social Media and Marketing
      Aug 2025 - Present · 1 yr

    • Member
      Sep 2024 - Jul 2025 · 11 mos

  • AI Intern at GenServe.AI
    Oct 2025 - Mar 2026 · 6 mos

  • Software Intern at Hornbill Ag
    May 2025 - Jun 2025 · 2 mos

    Developed and refined the company website ahead of launch, creating dedicated case study pages and improving UI/UX design. • Designed visual assets for the “AI in Nutrition” Comprehensive Report and created the workshop presentation for the Gates Foundation. • Categorized 165 AI use cases into six AI clusters and three implementation scales, leveraging AI tools to analyze patterns and relationships. • Researched and documented existing tools matching 19 high-priority AI use cases. • Incorporated feedback from field experts to enhance report accuracy and clarity.

  • Web Developer at Zonse Momo
    Jun 2024 - Aug 2024 · 3 mos

    • Revamped the user interface of the Zonse Momo website, improving both visual appeal and functional performance. • Developed and integrated real-time statistics modules to track and display impact metrics for NGO initiatives.