Product Manager building AI products, agentic systems, and local-first AI tools.

I have 8 years of professional experience, including 5 years in product management, across telco, fintech, consumer products, and AI systems. I have worked on products serving tens of millions of users, including a major telco platform that grew from 23M to 50M monthly active users.

Currently completing MSc Business Analytics at the University of Birmingham.

• AI product systems
• LLM applications
• RAG pipelines
• Multi-model orchestration
• Agentic workflows
• Local-first AI tools
• Consumer AI products
• Product analytics and growth systems

AI decision intelligence platform for extracting, structuring, and searching decisions from meetings.

The system is designed around speech-to-text, multi-model decision extraction, semantic retrieval, and source-linked decision memory. The product focus is not transcription. It is decision intelligence: what was decided, why it was decided, who was involved, what changed, and what depends on it.

Multi-model AI chat platform with task-based routing across 18+ models.

Lucid is designed around intelligent model selection, token-aware cost controls, fallback cascades, and subscription economics. The core product decision is simple: users should not need to understand model choice for every task.

Personalised AI news platform built around RAG, multilingual content processing, and user retention.

Co-founded as Product Lead. Scaled to 5,000+ users across 25 countries, processing 10K+ articles daily in 10 languages, with 42% weekly retention.

AI documentation tool for product requirement generation.

Built to reduce PRD writing time by 70% using hybrid retrieval, combining semantic search with keyword retrieval. Designed for practical product teams that need faster, more consistent documentation.

Multi-agent review system for PRDs, prototypes, and QA workflows.

Designed around structured review outputs, severity scoring, approval checkpoints, and evidence-linked product analysis.

Privacy-first local AI assistant concept focused on Apple Silicon and local-first workflows.

The product direction is simple: personal AI should be private, fast, useful, and grounded in the user’s own files and workflows.

IBM SkillsBuild AI experiential learning project focused on credit decisioning, explainability, and responsible AI workflows using IBM watsonx.ai and Granite models.

• Scaled a major telco client platform from 23M to 50M MAU in 18 months
• Built AI-powered screening and location validation workflows reducing recruitment time by 40%
• Reduced attendance fraud by 30% through product-led validation flows
• Built PRD Genie to reduce documentation time by 70%
• Scaled Synopse AI to 5,000+ users across 25 countries
• Designed Lucid around 18+ model routing and subscription-aware AI cost controls

Product and analytics: Figma, Miro, Postman, Google Analytics, CleverTap, PostHog

AI and backend systems: RAG pipelines, LLM integration, semantic search, multi-model orchestration, Supabase, Pinecone, FastAPI

Frontend and deployment: Next.js, TypeScript, Vercel

AI-assisted development: Claude Code, Cursor, Codex

• AI Product Management
• Agentic AI systems
• Local-first AI
• Multi-agent product workflows
• Consumer AI products
• Decision intelligence
• Product strategy for AI-native startups

• Portfolio: https://prashanthnimmagadda.replit.app
• LinkedIn: https://linkedin.com/in/nimmagaddaprashanth