I like building systems that quietly do difficult things well. Most of my day is spent somewhere between trading platforms, backend services, infrastructure, AI tooling, and the occasional production fire.
I enjoy working on problems that do not fit neatly into one box. Backend, frontend, infrastructure, release engineering, AI workflows - if solving the problem means crossing boundaries, that is usually where you will find me.
- Tech Lead @ NovaEx.ai
- Building trading and market-data products
- Making engineers faster with practical AI workflows
- Trying to remove one unnecessary manual step every week
If it touches engineering, there is a decent chance I have been involved somewhere along the way.
- Trading platform
- Market data
- Pricing
- Position management
- Alerting
- Internal tooling
- Infrastructure
- CI/CD
- AI engineering workflows
Some days I am designing systems.
Some days I am debugging production.
Some days I am helping someone else ship faster.
Usually it is all three.
Outside work I still build things.
Android apps.
Small web experiments.
Landing pages.
Random tooling.
Whatever seems fun that weekend.
This GitHub profile is another one of those projects.
- Claude, Codex, Antigravity, and too many terminal windows
- 5B+ tokens explored across AI-assisted engineering workflows
- Most useful for debugging, architecture, code reviews, and understanding unfamiliar repos
- Building repeatable workflows instead of one-off prompts
AI is not replacing engineering.
It is replacing repetitive engineering.
The goal is not just writing code faster. It is spending more time solving the interesting problems.
- Own the problem, not just the ticket
- Practical over clever
- Debug from first principles
- Ship, measure, improve, repeat
- Automate the boring parts
- Real-time market data
- Trading platforms
- Alerting systems
- Internal developer tooling
- Mobile apps
- Developer tooling and AI workflows
- Simplicity scales
- Measure before optimizing
- Good tooling compounds
- Documentation is part of the product
- Reliability beats cleverness
- Agentic engineering workflows
- AI code review
- Better observability
- Infrastructure automation
- Faster developer feedback loops
- Basketball
- Cinema
- Automobiles
- Tech, product, and systems conversations
