ML Engineer, Data Scientist, and curious systems thinker.
I am interested in building useful things with code, understanding complex fields deeply, and turning ideas into practical systems. My work and learning usually sit somewhere between ML engineering, AI, automation, algorithmic trading, and researching.
- I work with backend systems, AI/ML ideas, and automation workflows.
- I am interested in algorithmic trading, market structure, quantitative research, and systematic strategy building.
- I like using AI as a thinking partner for learning, planning, research, debugging, and creative work.
- I am also interested in writing, storytelling, and novel writing.
- I care about building systems that are practical, simple enough to use, and strong enough to grow.
Artificial Intelligence
Machine Learning
Algorithmic Trading
Backend Engineering
Automation
Knowledge Systems
Learning Frameworks
LLM Tools
Quantitative Research
DevOps Foundations
Novel Writing
Storytelling
Personal Operating Systems
- AI-assisted learning and personal knowledge management
- Backend systems for automation and intelligent workflows
- Machine learning and LLM tooling
- Algorithmic trading research and systematic strategy design
- Coordinate-based compression and token-efficiency ideas
- Practical DevOps, Docker, Kubernetes, and deployment systems
- Creative writing and long-form storytelling
Python
Backend APIs
Machine Learning
AI Agents
Automation
Trading Research
Docker
Kubernetes
Markdown / Obsidian
GitHub Workflows
- GitHub: mito0o852