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Hi, I'm Atharva Gupta, an innovative AI engineer focused on building secure, scalable full-stack multi-agent architectures that automate complex business workflows. I design production-ready AI systems on AWS and Azure, including a conversational interface that increased user engagement by 30% and helped scale a startup to $60,000 in revenue within three months. I actively contribute to the global AI community, specializing in Model Context Protocol (MCP) and open-source automation tools. I enjoy collaborating across teams to create extensible integrations that connect 800+ platforms and automate end-to-end business workflows.…Hi, I'm Atharva Gupta, an innovative AI engineer focused on building secure, scalable full-stack multi-agent architectures that automate complex business workflows. I design production-ready AI systems on AWS and Azure, including a conversational interface that increased user engagement by 30% and helped scale a startup to $60,000 in revenue within three months. I actively contribute to the global AI community, specializing in Model Context Protocol (MCP) and open-source automation tools. I enjoy collaborating across teams to create extensible integrations that connect 800+ platforms and automate end-to-end business workflows.

Atharva Gupta

Full Stack Developer, Back-End Developer, Front-End Developer, +3

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Hi, I'm Atharva Gupta, an innovative AI engineer focused on building secure, scalable full-stack multi-agent architectures that automate complex business workflows. I design production-ready AI systems on AWS and Azure, including a conversational interface that increased user engagement by 30% and helped scale a startup to $60,000 in revenue within three months. I actively contribute to the global AI community, specializing in Model Context Protocol (MCP) and open-source automation tools. I enjoy collaborating across teams to create extensible integrations that connect 800+ platforms and automate end-to-end business workflows.…Hi, I'm Atharva Gupta, an innovative AI engineer focused on building secure, scalable full-stack multi-agent architectures that automate complex business workflows. I design production-ready AI systems on AWS and Azure, including a conversational interface that increased user engagement by 30% and helped scale a startup to $60,000 in revenue within three months. I actively contribute to the global AI community, specializing in Model Context Protocol (MCP) and open-source automation tools. I enjoy collaborating across teams to create extensible integrations that connect 800+ platforms and automate end-to-end business workflows.

Available to hire

Hi, I’m Atharva Gupta, an innovative AI engineer focused on building secure, scalable full-stack multi-agent architectures that automate complex business workflows. I design production-ready AI systems on AWS and Azure, including a conversational interface that increased user engagement by 30% and helped scale a startup to $60,000 in revenue within three months.

I actively contribute to the global AI community, specializing in Model Context Protocol (MCP) and open-source automation tools. I enjoy collaborating across teams to create extensible integrations that connect 800+ platforms and automate end-to-end business workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Expert

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Expert

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Expert

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Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Tendertrace

July 1, 2025 - Present

Architected a multi-agent conversational system for the TenderTrace platform, automating user-specific actions via natural language processing. Engineered a centralized procurement data interface, increasing user engagement by 30%.

AI Researcher at Neurodesk

October 1, 2025 - December 1, 2025

Developed an autonomous multi-agent system for neuroimaging research, ensuring 100% reproducibility of workflows via containerized tools within Jupyter Notebooks.

Founding Engineer at Godel

January 1, 2025 - October 1, 2025

Engineered a high-extensibility integration framework supporting 800+ platforms (HubSpot, Salesforce, Xero, etc.), enabling AI workers to autonomously execute complex, cross-platform business workflows. Collaborated with a team of 4, successfully scaling the startup to achieve $60,000 in revenue within three months.

Industrial Project at Nvidia

July 1, 2024 - November 1, 2024

Architected a dynamic RAG pipeline integrating vector stores for complex sequence reconstruction, achieving a 40% reduction in data retrieval latency. Developed real-time scrapers for ArXiv and Wikipedia, processing over 5k documents per minute to maintain a live, synchronized vector database.