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Adarsh Kumar Dash – Software Engineer at SuperAGI



Contact Information


  • Name: Adarsh Kumar Dash

  • Current Role: Software Engineer (also referenced as Software Engineer Intern)

  • Company: SuperAGI, Bengaluru, Karnataka, India


  • Affiliated Email Format: {first}@superagi.com (listed as contributor on SuperAGI technical papers and repositories)





Professional Overview



Adarsh Kumar Dash is currently a Software Engineer at SuperAGI, a technology company known for its specialization in open-source autonomous artificial intelligence frameworks and developer-first products. SuperAGI enables rapid development and deployment of autonomous AI agents, with a focus on automating complex digital workflows. Adarsh has participated as an author in multiple SuperAGI-related research initiatives, including contributions to the “Veagle: Advancements in Multimodal Representation Learning”, highlighting his technical involvement within the AI and ML domain.

He is credited as a contributor in the Veagle multimodal representation learning project (2024), which underscores expertise in machine learning, artificial intelligence systems, and modern web development practices. In addition to full stack web development, his core competencies include research and implementation of AI-driven solutions and multimodal learning architectures—skills aligned tightly with SuperAGI’s product and research roadmap.




Education



  • MCA (Master of Computer Applications), 2023-2025 (Expected)

  • Institution: Christ University, Bengaluru

  • Role: Student Placement Representative

  • Active engagement in university computer science community, with evidence of participation in campus placements and representation of student interests within the department.





Technical Skills and Interests



  • Full Stack Web Development

  • Artificial Intelligence & Machine Learning

  • Involved in the development and documentation of SuperAGI's open-source initiatives, especially the Veagle project.

  • Team Collaboration: Regularly collaborates across multi-author research teams at SuperAGI.

  • Developer Community Involvement: Contributes to open-source projects and maintains an active profile in technical forums and GitHub repositories.

  • Emergent Technologies: Demonstrates a focused professional interest in developer-first frameworks, autonomous AI agents, and multimodal model architectures.





Highlights of Recent Projects



  • Veagle: Advancements in Multimodal Representation Learning (SuperAGI, 2024)

  • Collaboration: Joint author with SuperAGI engineering team (listed alongside other principal engineers and researchers).

  • Scope: Research on state-of-the-art approaches in AI-driven multimodal data representation.






Professional Reputation & Network



  • LinkedIn: Small but growing professional network, with mutual connections primarily in the software engineering and artificial intelligence community.

  • GitHub Involvement: Notably cited in SuperAGI documents and repositories (e.g., Veagle @ SuperAGI’s GitHub).

  • Placement/Representation: Experience in leadership roles within academic settings, including representing peers in student placement activities.





Insights



Adarsh Kumar Dash demonstrates a combination of practical engineering skills and applied research experience within the fast-evolving field of artificial intelligence. His contributions to open-source AI frameworks and collaboration on advanced multimodal projects position him as an engaged and knowledgeable stakeholder at SuperAGI. His dual focus on hands-on software development and participation in academic affiliation (MCA ‘25) reflects a high level of technical acumen and a propensity for cross-functional teamwork, both internally at SuperAGI and in external academic partnerships.

SuperAGI’s positioning as an open-source, developer-centric AI platform is reflected in Adarsh’s skill set and project focus. His active participation in research and technical documentation, paired with recent experience as a student placement representative, suggests both technical and organizational influence within his teams.
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