Yash Solanky is a Staff Software Engineer based in Boston with four years of hands-on experience building backend systems and multimodal AI tooling. He progressed from Senior Software Engineer to Staff at Agno, where he helped expand a lightweight framework that gives LLMs “superpowers” like memory, tools, and external API integrations. His open-source contributions focus on practical integrations—adding email sending via the Resend API and a DuckDuckGo search tool—demonstrating an emphasis on making AI agents actionable and connected. With an MS in Data Science from Indiana University and prior applied ML internship experience at Eli Lilly, he blends data-driven thinking with production engineering. Notably, he moves beyond prototyping to shipping reusable agent tooling that bridges LLM capability and real-world services.
4 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at The NorthCap University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Indiana University Bloomington
A lightweight library for building Multimodal Agents. Give LLMs superpowers like memory, knowledge, tools and reasoning.
Role in this project:
Back-end Developer
Contributions:6 releases, 290 reviews, 11 commits in 2 months
Contributions summary:Yash focused on developing and integrating features related to the Resend API for sending emails within the multimodal agent library, agno. They implemented a resend tool, improved integration, and example usage. The user also updated the main library, and added a new tool for performing duckduckgo searches, further expanding the capabilities and integration of the library with external APIs.
Contributions:1 PR, 69 pushes, 5 branches in 2 years 6 months
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