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gautamgb/README.md

Product Manager blending strategy with execution

Principal Product Manager at Qualtrics — I constantly am thinking about Developer Platforms, Public APIs, and agentic AI (incl MCP, RAG, workflow orchestration) powered ecosystems.

My Approach to Product:

  • Hands-On Execution: I believe you can't lead what you don't understand. I prototype, build, and explore new tech to stay close to the code and the developer experience.
  • Applied Innovation: I focus on turning emerging capabilities—especially in AI and agentic workflows—into practical, scalable products that solve real problems.
  • Systems-Level Thinking: Whether defining robust public APIs or architecting new features, I prioritize scalability, clear documentation, and reducing friction.
  • Rapid Validation: I prefer moving quickly from strategy to working prototypes, validating assumptions early to ship products that actually work.

Every tool here started as a proof-of-concept to solve friction I hit while shipping enterprise AI infrastructure. I prototype before I spec.


What I've Built

Agent Universe Python Enterprise-grade agent builder factory. A composable framework for building governed AI agents with structured tool access, memory, and orchestration patterns.

MCP Server Generator TypeScript Paste an OpenAPI spec, get a production-ready MCP server. Built to eliminate the boilerplate that slows agentic adoption — the same friction I kept hitting when onboarding teams to MCP at scale.

Semantic Router TypeScript Classifies user queries by complexity and routes them to the right LLM — fast model for simple questions, heavy model for complex reasoning. Cuts inference costs without sacrificing quality. Exposes latency, model, and cost telemetry per request.

Zero-Trust PII Proxy Agent TypeScript A privacy-preserving proxy that sits between your application and your LLM. A fast model sanitizes input (replaces PII with placeholders), the heavy model processes only clean text, and the response is unmasked before returning. Enterprise compliance without crippling AI capability.

All deployed and live at seekgb.com


The Pattern

I've spent 12+ years building platforms at Microsoft (Power BI/Synapse, Windows Shell), T-Mobile, Trend Micro, and Qualtrics. The recurring problem: powerful infrastructure exists, but the people who need it can't reach it. These tools are my way of closing that gap — building the missing pieces I couldn't find when I needed them.


seekgb.com · LinkedIn · gautamgb@gmail.com

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  1. agent-universe agent-universe Public

    Enterprise-grade agent builder factory — governed, composable AI agents with structured tool access and orchestration

    Python

  2. Context-Aware-Semantic-Router Context-Aware-Semantic-Router Public

    Smart LLM routing — classifies queries by complexity and routes to the right model. Exposes cost and latency telemetry.

    TypeScript

  3. mcp-server-generator mcp-server-generator Public

    Paste an OpenAPI spec, get a production-ready MCP server in TypeScript. One click.

    TypeScript

  4. Zero-Trust-PII-Proxy-Agent Zero-Trust-PII-Proxy-Agent Public

    Privacy-preserving LLM proxy — sanitizes PII before processing, unmasks on return. Your LLM never sees real data.

    TypeScript