I’m Rutvik Bhuva, an AI Automation Engineer focused on building agentic, production-ready workflows that can reason, decide, and take action—not just chatbots. I enjoy turning messy, manual operations into reliable pipelines by carefully mapping real-world edge cases, integrating many tools into one cohesive system, and adding the error-handling needed to keep automations stable at scale. Across projects, I’ve automated document processing, multi-language extraction with vision-capable models, and web-based data crawling using browser automation. I also build end-to-end monitoring and syncing systems—especially where data integrity matters—so teams get consistent outputs and spend less time on repetitive manual work while catching issues earlier in the pipeline.

Rutvik Bhuva

I’m Rutvik Bhuva, an AI Automation Engineer focused on building agentic, production-ready workflows that can reason, decide, and take action—not just chatbots. I enjoy turning messy, manual operations into reliable pipelines by carefully mapping real-world edge cases, integrating many tools into one cohesive system, and adding the error-handling needed to keep automations stable at scale. Across projects, I’ve automated document processing, multi-language extraction with vision-capable models, and web-based data crawling using browser automation. I also build end-to-end monitoring and syncing systems—especially where data integrity matters—so teams get consistent outputs and spend less time on repetitive manual work while catching issues earlier in the pipeline.

Available to hire
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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Work Experience

AI Automation Engineer (Retainer) at Autoworld International Ltd.
November 1, 2025 - June 30, 2026
Mapped a fully manual bilingual process for cross-referencing 30+ export certificates per day across two languages, then built a bilingual (English/Japanese) Google Drive upload pipeline using an agentic GPT chain with vision to reason over document layouts and extract 10+ fields (e.g., chassis number, registration number, auction grade), eliminating manual EC data entry. Built stateful, agentic auction-listing and bid-related crawling using Puppeteer session management, async status polling, multi-branch routing, and screenshot-based image processing to extract and structure live auction data across 50+ pages per run. Engineered an end-to-end ASNET vehicle stock monitoring pipeline integrating Puppeteer-based scraping, image editing, an external file-upload API, and async status polling, reducing operations reporting time by 80% with daily automated stock-status tracking. Designed and deployed 5+ production-grade n8n workflows with scheduled triggers, error-handling branches, batch p

Education

B.E. at Government Engineering College, Bhavnagar
June 1, 2022 - June 1, 2026

Qualifications

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Industry Experience

Computers & Electronics, Software & Internet, Professional Services, Transportation & Logistics