Full-stack AI product
Builds React/TypeScript product flows, Node.js and Java/Spring backend logic, PostgreSQL/SQL Server data layers, AI tool calls, RAG-backed knowledge features, and deployment-ready automation.
Solutions Engineer / Full-stack Software Engineer
Customer-facing delivery with hands-on product engineering.
Solutions Engineer / Forward Deployed Engineer with 6+ years of experience delivering enterprise software, integrations, automation, and data-heavy workflows for global clients. Turns ambiguous customer requirements into production-ready systems by owning the solution end to end across discovery, solution architecture, development, implementation, technical demos, training, and go-live. Hands-on with AI-enabled and agentic product workflows through independent full-stack product work.
Builds React/TypeScript product flows, Node.js and Java/Spring backend logic, PostgreSQL/SQL Server data layers, AI tool calls, RAG-backed knowledge features, and deployment-ready automation.
Leads discovery, demos, scoping, specifications, stakeholder alignment, training, go-live planning, and post-launch adoption.
Turns messy reporting, database, configuration, RESTful API, MCP/tool integration, and operational constraints into technical designs that teams can ship and customers can trust.
Full-cycle delivery
Designed a JavaScript automation workflow that reduced a repeated setup task from around 1 hour to 2 minutes by traversing product layers, reusing existing components, and generating missing structures. The workflow was adopted in implementation practice, used in sales demos, and shaped feature direction and product roadmap decisions.
Built customer-specific enterprise workflows across Java/Spring backend logic, RESTful API flows, SQL procedures, data validation, and PDF/RTF/Excel reporting.
Personal full-stack AI product and agentic workflow system: built with React/TypeScript, Node.js, PostgreSQL, Prisma, Vercel AI SDK, Better Auth, Zod, Playwright, Vitest, Codex-assisted workflows, RAG knowledge workflow patterns, MCP integration boundaries, and deployment tooling.
Created Python tools, repeatable investigation patterns, and Confluence documentation that improved report/XML investigation and cross-team support consistency.
formerly Cimteq
Modules (Python-based): High Performance Computing, Agent Based Systems, Research Methods for MSc Computer Science and Applications, Data Mining, Foundations of Data Analytics, Sensor Networks and Mobile Data Communications, Foundations of Computing, Natural Language Processing. Built a Python auction bot scoring 7.2/7.5, top among 60+ submissions.
MSc Electronics and Communication Engineering; BEng Communication Engineering. GPA 3.7 / 4.0.
JavaScript · TypeScript · SQL · Python · Java
React · React Router · Vite · Tailwind CSS · shadcn/ui
Java/Spring · Node.js · REST APIs · PostgreSQL · SQL Server · Prisma · integration workflows · AWS
Git · GitHub Actions · Linux · Docker · Playwright · Vitest · pnpm · OpenAPI/Swagger · Zod · Better Auth
Agentic workflows · Ralph Loop · Codex · Vercel AI SDK · RAG · MCP integrations · AI tool boundaries
React/TypeScript · Node.js · PostgreSQL · Prisma · Better Auth · Zod · Playwright · Vitest · deployment workflows
Customer discovery · pre-sales demos · solution architecture · workflow design · stakeholder management · go-live delivery · product-minded feature definition
Vertical-slice architecture · system design · schema design · integration design · business-rule implementation · technical documentation
Contributed UI and backend improvements to an analytics tool.