Ayush Jha is a Senior Software Engineer and founding engineer at Agno with about 3 years of hands-on experience, based in Oregon, India. He’s a full‑stack contributor to Agno’s open-source multimodal agent framework, adding practical tools like a web‑scraping "firecrawl" and a Zoom integration/agent that combine API work, backend logic, and agent orchestration. Rapidly promoted within the startup, he pairs frontend experience (React/Tailwind, Strapi) with backend work (MongoDB, GPT clients) and a focus on shipping examples that make LLM capabilities immediately useful. Self‑educated in computer science alongside a B.Tech from Presidency University Bangalore, Ayush blends startup grit with a clear track record of turning LLM research ideas into production-ready tooling.
4 years of coding experience
1 year of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Presidency University Bangalore
Class 11 to 12, Computer Science, Class 11 to 12, Computer Science at Kendriya vidyalaya Hebbal Bengaluru
Class 6 to 10, Cbse, Class 6 to 10, Cbse at The Air Force School (TAFS), Subroto Park
Computer Science, Computer Science at Self-educated
A lightweight library for building Multimodal Agents. Use it to give LLMs superpowers like memory, knowledge, tools and reasoning.
Role in this project:
Full-stack Developer
Contributions:27 reviews, 29 PRs, 158 pushes in 1 year
Contributions summary:Ayush primarily contributed to adding new tools and examples to the project, suggesting a focus on extending the capabilities of the library. They implemented a 'firecrawl' tool, which likely provides web scraping functionality, demonstrating an understanding of web interactions and data extraction. They also added a 'zoom tool', which suggests API integration and potentially back-end development for meeting scheduling and management. Further contributions include integration of a zoom tool and an agent for zoom , and updating code for file readers.
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