Prakhar Vaish

Martech & AI Developer

Professional Summary

Prakhar Vaish is an AI and Marketing Technology professional with proven experience in designing, developing, and deploying end-to-end automation solutions. His expertise is underpinned by an Adobe Journey Optimizer Business Practitioner certification and robust full-stack development skills. This enables him to leverage generative AI, automation platforms, and the Adobe Experience Cloud to solve complex business problems for a diverse range of clients.

Key Highlights

  • Proficient in a versatile tech stack, including Generative AI (OpenAI, Gemini), n8n, Power Automate, and the Adobe Experience Cloud.
  • Proven ability in engineering sophisticated end-to-end AI solutions, from custom frontend UI to secure backend automation and data integration.
  • Skilled in performance engineering, conducting concurrency and stress testing with k6 and Node.js to ensure application scalability.
  • Strong full-stack development background, including ReactJS, JavaScript, NodeJS and building custom human-in-the-loop systems using no-code/low-code platforms like PowerAutomate and n8n.

Key Projects

  • Thomas Insurance Services (TIS): Contributed to developing an AI-powered chatbot and an automated personalized email solution. Built the backend in Power Automate, implemented a unique session ID for security, and integrated data sources to streamline client intake.
  • We Are Explorers (WAE): Engineered an advanced AI content workflow using n8n and Gemini API, featuring a custom human-in-the-loop verification system within WordPress.
  • Bankwest: Provided ad-hoc campaign support by creating and customizing customer-facing templates (In-app) in Adobe Journey Optimizer (AJO) using HTML and CSS.
  • LTU: Supported a large-scale data project by preparing, formatting, and testing data for ingestion into Adobe Experience Platform (AEP), and contributed to solution design and reverse brief documentation.
  • CFS: Contributed to solution design and handled the creation, modification, and formatting of reverse brief documents for the “CFS Data Uplift” project.

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