Graduate @ University of Michigan
Currently building cloud-native and AI-powered software systems.
I'm a software engineer focused on building backend systems, cloud-native applications, and AI-powered products.
I enjoy taking ideas from zero to one — designing the architecture, building the backend, connecting the frontend, setting up infrastructure, and shipping usable products. My strongest areas are backend engineering, system design, DevOps, cloud deployments, and AI/GenAI product development.
I have worked on recruitment automation platforms, athlete scouting systems, RAG-based job matching pipelines, admin dashboards, chatbot workflows, and production deployment pipelines.
- Scalable backend systems and APIs
- AI-powered SaaS products
- RAG and source-grounded AI workflows
- Recruitment and workflow automation platforms
- Cloud infrastructure and CI/CD pipelines
- Full-stack MVPs for startup-style products
- Agent-driven development workflows using AI coding tools
I actively use AI coding tools and agent-driven workflows to move faster from idea to implementation.
My workflow includes:
- Breaking product ideas into technical tasks
- Designing architecture and system flows with AI assistance
- Using coding agents for scaffolding, refactoring, debugging, and documentation
- Reviewing and improving generated code before shipping
- Combining AI tools with strong engineering judgment and system design thinking
Tools I use or explore:
OpenCode · Claude Code · Cursor · Codex · Zed