What I'm Building

A personal knowledge base that helps me write better cold messages to startup founders.

  • My experience, skills and projects are stored as structured notes.
  • Prompts look at a startup, guess its hardest engineering problems, and match them to work I have done.
  • The output is a short message: the problem, my proof, and a simple ask.

What I'm Learning

  • Backend architecture and system design
  • Async workflows and background jobs
  • Applied AI: RAG, retrieval tuning and MCP
  • Developer tools and isolated runtimes

Tech Stack

Languages
Python, TypeScript, SQL, JavaScript, C++
Backend
FastAPI, Node.js, Express.js, asyncio, REST APIs, WebSockets, JWT/OAuth
Databases
PostgreSQL, MongoDB, Redis, Pinecone, Drizzle, Prisma
Queues and Workers
Celery, BullMQ, Apache Kafka, Redis Pub/Sub
Cloud and DevOps
Docker, Kubernetes, AWS (S3, EC2), Cloudflare R2, Linux, CI/CD
AI
RAG, Vector search, Azure OpenAI, MCP, Gemini
Frontend and Tools
React, Next.js, Tailwind CSS, Git, Turborepo

Strengths

  • Async workers and queues
  • Sandboxed code execution
  • Auth for AI agents (MCP, OAuth)
  • Content-addressed storage
  • Usage-based billing
  • RAG pipelines