I build web products that bring together thoughtful product UX, full-stack engineering, and practical AI.
Portrait interaction ready. Click and drag across the hero to shift the background.
My work sits at the intersection of product engineering and product judgment: shaping the interface, the backend, the data model, and the human workflow around an intelligent feature.
A mix of product development, technical exploration, and small tools—described by the ideas they represent.
At Userflow x Beamer, I used AI tools and full-stack engineering to help bring customer-facing ideas from exploration to production-ready product features.
A personal exploration of how AI can support video, voice, transcription, capture, and editing workflows.
A privacy-first browser utility built around local processing, direct interaction, and a simple product promise.
I work across product thinking, interface design, full-stack systems, and practical AI—turning complex ideas into experiences people can understand and use.
Customer-facing SaaS work where AI tools, product thinking, and full-stack engineering meet.
Product workI worked across product interfaces, backend services, data, and AI integrations to help bring customer-facing capabilities from exploration through end-to-end delivery.
A personal product exploration into how capture, transcription, voice, video, and AI-assisted workflows can come together.
Personal product · in progressClicknRec explores how voice, video, transcription, capture, and AI-assisted workflows can work together in one product.
A proof-of-concept exploration into how agents, context, and tools can help people work with software.
Proof of conceptI explored agentic product patterns, retrieval, orchestration, tool use, and human review as building blocks for useful software, while keeping the work clearly in the prototype category.
A personal utility with a simple promise: useful PDF work, performed locally in the browser.
Personal productOpenPDF Tools explores direct interaction, local processing, and privacy-first product design in a compact browser experience.
I’m a full-stack AI product engineer who likes the part where a vague product problem becomes a clear, reliable experience.
I care about the seam between engineering and judgment: what the user sees, what the system needs, and what the product should let a person decide.
Across SaaS, AI-enabled products, and industrial applications, I’ve worked across frontend, backend, data, and delivery. Today, that means React and TypeScript craft paired with Java/Spring depth, modern infrastructure, and practical AI implementation.
Start from the user’s job, then choose the smallest reliable AI loop that helps.
New technology should feel understandable, responsive, and grounded in a real need.
Good product work connects interface, backend, data, infrastructure, and the details in between.
A practical stack shaped around useful outcomes rather than technology collection.
AI integrations, agents, orchestration, retrieval, tool use, structured outputs, and human-centered workflows.
Responsive product interfaces with strong hierarchy, interaction quality, accessibility, and visual judgment.
APIs, services, application modeling, data modeling, and the foundations that make a product feature reliable.
Containerized delivery, CI/CD, Linux, Git, and the infrastructure that helps ideas become dependable products.
Experience across customer-facing SaaS, workflow-heavy platforms, and industrial software.
Worked across AI-enabled product experiences and full-stack delivery using React/TypeScript, Java/Spring, data, and cloud infrastructure.
Worked across workflow-heavy systems with React, TypeScript, Java/Spring, PostgreSQL, and product-focused application design.
Built data-driven web and processing workflows with Docker, Linux, and the practical details needed to support connected operations.
I’m open to conversations about AI, the future of AI products, product design, and full-stack engineering.