AI capabilities, built end to end.
At Userflow x Beamer, I worked across AI integrations, Java/Spring services, React/TypeScript, data, and release workflows to bring customer-facing capabilities from idea to production.
I build AI-enabled products from the backend out—shaping services, data flows, and AI integrations, then carrying them through to the frontend and production.
Portrait interaction ready. Click and drag across the hero to shift the background.
I work across AI integrations, APIs, services, data models, infrastructure, and React/TypeScript interfaces—owning the path from system architecture to product delivery.
A mix of shipped AI capabilities, full-stack systems, personal products, and clearly labeled experiments.
At Userflow x Beamer, I worked across AI integrations, Java/Spring services, React/TypeScript, data, and release workflows to bring customer-facing capabilities from idea to production.
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 from architecture, backend services, data, and AI integrations through to the frontend and production delivery—building systems that are useful, reliable, and understandable.
Customer-facing SaaS work spanning AI integrations, backend services, data, and full-stack delivery.
Product workI worked across AI-enabled capabilities such as translation and content generation, alongside backend services, data, frontend integration, and release workflows.
A personal product exploration into how capture, transcription, voice, video, and AI-assisted workflows can come together.
Personal productClicknrec 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 engineer who works from architecture and backend systems to the frontend and production details that make an intelligent feature useful.
I care about the whole path: what the system needs, how the intelligence is integrated, how the data moves, and how the product behaves for the person using it.
Across SaaS, AI-enabled products, and industrial applications, I’ve worked across backend services, application and data modeling, AI integrations, frontend delivery, and infrastructure. Today, that means Java/Spring and Node.js backend work paired with React/TypeScript, modern infrastructure, and practical AI implementation.
Start from the problem, then choose the smallest reliable AI loop that helps.
Keep model behavior, application logic, data, and human review understandable and controllable.
Good product work connects interface, backend, data, infrastructure, and the details in between.
A practical engineering stack across intelligence, backend systems, delivery, and the frontend surfaces people use.
AI integrations, agents, orchestration, retrieval, tool use, structured outputs, and human-in-the-loop workflows.
APIs, services, application and data modeling, background workflows, and the foundations that make AI features reliable.
Containerized delivery, CI/CD, Linux, Git, and the infrastructure around dependable product systems.
React/TypeScript interfaces that make complex backend and AI capabilities understandable and usable.
Experience across customer-facing SaaS, workflow-heavy platforms, and industrial software.
Worked across AI-enabled product capabilities and full-stack delivery using AI APIs, React/TypeScript, Java/Spring, data, and cloud infrastructure.
Worked across workflow-heavy systems with Java/Spring, React/TypeScript, PostgreSQL, APIs, and application/data modeling.
Built data-driven web and processing workflows with Docker, Linux, and the practical backend and delivery details needed to support connected operations.
I’m open to conversations about AI, backend architecture, the future of AI products, and full-stack engineering.