Public Roadmap
What I'm working on, learning, and planning. Updated periodically.
Currently learning
Advanced AI Systems & Agent Architectures
Master's thesis focus + personal experiments with LLM orchestration
- →Building production RAG pipelines
- →Studying multi-agent coordination patterns
Distributed Systems Design
Going deeper beyond implementation — formal models, consensus algorithms
- →DDIA (Kleppmann) re-read
- →MIT 6.824 lecture series
Rust
Exploring for systems programming and WASM targets
- →The Rust Book
- →Building CLI tools as practice
Currently building
Master's Thesis
In progressBuilding and evaluating an AI-powered system. Topic intersects distributed computing and LLM tooling. Defense scheduled: Sep 2025.
This website
In progressIteratively building out the portfolio itself — each section is a mini project with real engineering decisions.
Open-source tooling
PlannedSmall CLI utilities and libraries from internal tooling I've built at work, being extracted and open-sourced.
2025 goals
- Defend Master's thesis (Sep 2025)
- Ship 2 open-source tools with real users
- Write 4 technical deep-dive articles
- Contribute meaningfully to a Go or Rust project
- Land a role focused on distributed systems or AI infrastructure
This roadmap is public because showing growth mindset matters more than pretending to know everything. The best engineers I know are always learning.