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• Built VerityAI / ASVP, an AI Search Visibility Platform that helps brands track how they appear across ChatGPT, Gemini, Claude, and Google AI Overviews.

• Developed a multi-source query execution system to run the same prompt across multiple LLMs and compare visibility, sentiment, prominence, and brand mentions side-by-side.

• Designed and implemented brand, query, analytics, alerts, recommendations, account, and usage dashboards with a responsive UI.

• Built a recommendation engine that analyzes AI response gaps and generates actionable content/distribution suggestions for improving brand visibility.

• Implemented authentication, team account support, billing, subscription handling, and password reset workflows with secure cookiebased session management.

• Added Redis-based caching, Temporal workflows, and scheduled background jobs for scalable query execution, alert generation, and recommendation processing.

• Integrated NER/NLP pipelines to extract competitors, entities, and structured insights from raw LLM responses.

• Tech Stack: Next.js, React, TypeScript, Node.js, Express, PostgreSQL, Redis, Temporal, Python, spaCy, Resend, Razorpay, Google OAuth, Docker, GCP.