I'm a Stanford-trained engineer who made the full journey from signal processing to product strategy — through Bay Area tech, two EdTech startups, and now fractional CPO work with founders building the next generation of products. My apps reached 1 million+ organic downloads across 195 countries and 20,000+ ratings before "product-led growth" was a buzzword. Today I work closely with founders and CXOs to build software customers genuinely love, and mentor the product teams behind it.
Work
Below are some of my recent projects. Please request for the complete walkthrough of the locked projects.
01
Modular AI Chatbot Platform
Built a progression of chatbot implementations exploring how conversational AI evolves from basic prototypes to feature-rich systems with memory, tools, and database integration.
02
Podcast RAG System with Vector Search
Built a production-grade RAG system implementing automated podcast processing, vector embeddings, and semantic search to enable conversational Q&A over podcast content.
03
Voice Assistant with Persistent Memory
Built a phone-based AI voice assistant implementing conversation memory persistence to explore the technical challenges of stateful conversational AI systems.
04
AI Networking Assistant with Semantic Matching
Built an AI-powered professional networking system combining voice interaction, vector search, and automated call initiation to facilitate professional connections.
05
Autonomous Job Search AI Agent
Built an autonomous AI agent implementing multi-step agentic workflows for automated job search, content analysis, and personalized recommendations.
06
MCP Workspace Automation Agent
Built an autonomous AI agent using Model Context Protocol to connect Jira, Slack, and Notion, enabling natural language commands to execute multi-step workflows across productivity platforms.
Thoughts & Ideas
My take on product-led growth, building for global audiences, and what 20 years of shipping software has taught me about decisions that matter.
Stanford Engineering in an Indian Startup: How Signal Processing Intuition Shapes How I Think About Product Problems
The Fractional CPO Model: When Early-Stage Companies Need a Full Product Leader But Not a Full-Time Hire
What 1 Million Organic Downloads Taught Me About Product-Led Growth Before It Had a Name
Experience
Twenty years building products at every scale — from Bay Area engineering to EdTech startups that reached a million users, and now advising the founders and PMs who are doing it next.
The best product decisions look obvious in hindsight — the craft is in seeing the signal before everyone else does.
Stack
The tools I use to build products people love, measure adoption, and guide founders from strategy to execution.
in short
Built mobile apps with 1M+ organic downloads across 195 countries
Pavithra skipped presentations and built real AI products. Want to know how?
Pavithra Srinivasan was part of the January 2026 cohort at Curious PM, alongside 13 other talented participants.
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