I am an automation-focused analyst with hands-on experience building AI-assisted research workflows, metadata systems, and operational automation for SaaS platforms.
I specialize in structured research, content intelligence, and workflow optimization using APIs, webhooks, and AI tools. My work is centered on reducing manual effort and improving consistency through scalable automation.
At Vitrina.AI, I have designed and maintained automated web extraction and monitoring pipelines, supported company and market research, and helped validate large volumes of industry metadata for reporting and discovery use cases.
I also build practical internal tools and dashboards using Python, JavaScript, Google Apps Script, GitHub Actions, Google Sheets API, n8n, and Zapier. These systems help surface insights faster and keep data pipelines reliable.
Beyond my core role, I have developed automation projects such as Telegram bots, job alert agents, and earnings intelligence dashboards that combine search APIs, LLMs, and scheduled workflows.
I am open to remote roles where I can contribute to research automation, data enrichment, workflow design, and AI-assisted operations.
Designed and maintained automated web extraction and monitoring pipelines for high-volume industry data. Conducted structured company, partnership, and market research, validated metadata, performed data enrichment with LLM APIs, and built dashboards and review interfaces for reporting and decision-making.
Researched emerging technology topics and trends for SEO-driven publications. Produced structured, optimized content with a focus on discoverability and consistency.
Assisted in process documentation and quality compliance workflows. Supported operational improvements within production and packaging units.
M.Sc., Applied Microbiology
B.Sc., Microbiology
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