Software Engineer · Product Builder · Python
I build backend systems, developer tools, and AI-powered products that solve practical problems.
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EnvShield A developer tool for managing environment configuration as a version-controlled contract, with schema validation, secret scanning, and Git enforcement.
JossJobs An AI-powered job intelligence system that turns noisy job postings into structured, evidence-backed opportunities. The pipeline handles discovery, extraction, eligibility assessment, fit scoring, and ranking while minimizing unnecessary LLM usage.
KemonChilo A restaurant customer intelligence and service recovery platform. Customers provide feedback through QR/NFC, while restaurants get real-time alerts, AI-powered issue classification, operational insights, and structured service recovery workflows.
I'm interested in using AI agents as engineering tools, not just chat interfaces.
I've been experimenting with:
- Claude Code and agent-driven software development
- Playwright-based browser automation and testing
- MCP-based agent tooling
- Agentic UI testing and verification
- Benchmarking agent workflows and tool usage
- Designing workflows that keep deterministic logic outside the LLM
- Using AI where it provides leverage without turning the entire system into an LLM dependency
I mostly work with:
Python Flask Django PostgreSQL Docker AWS Terraform Pytest Playwright
I'm particularly interested in:
- Backend architecture and APIs
- Developer tooling
- AI-assisted software development
- Agentic systems and automation
- Testing and developer experience
- Turning small ideas into production software
Solve the actual problem. Keep the system understandable. Automate what should be automated. Use AI where it provides leverage. Don't add complexity without a reason.
Building useful things, one problem at a time.



