Lead Full-Stack Engineer with 13+ years building production systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ragscope
May 29, 2026 – Present
Lighthouse for RAG — PASS/WARN/FAIL scores for your retrieval pipeline, straight in the terminal. Works with LangChain, LlamaIndex, Vercel AI SDK, Langfuse, and any OpenTelemetry source.
View Projectclaims-processing-system
May 18, 2026 – Present
claims-processing-system — GitHub repository
View Projectinfrawise
May 8, 2026 – Present
MCP server for AWS infrastructure analysis — Lambda, DynamoDB, SQS, PostgreSQL, MongoDB, EventBridge & more. Works with Claude Code, Cursor, and GitHub Copilot.
View Projecttask-management-system
August 30, 2024 – August 30, 2024
task-management-system — GitHub repository
View Projectsv-bootstrap-dropdown
May 31, 2020 – Present
Svelte Bootstrap Dropdown [Svelte Component for Bootstrap Dropdown]
View Projectsv-bootstrap-modal
May 24, 2020 – Present
Svelte Modal Component for Bootstrap (Svelte Bootstrap Modal)
View Projectangular-shopping-cart-example
March 9, 2016 – April 19, 2018
Shopping Cart Single Page Angular Example
View ProjectCultural Fit Analysis
The candidate has a strong focus on personal projects, demonstrating initiative and a passion for development. The projects are diverse in scope, from UI components (Svelte Bootstrap Modal, Dropdown, Tooltip) to more complex applications (infrawise, ragscope, covid-19-dashboard, claims-processing-system). While the target role is 'React Frontend Engineer', the candidate's primary framework experience appears to be Svelte, with one Angular project. This indicates adaptability but also a potential gap in direct React experience. The breadth of technologies used (Svelte, Angular, Astro, TypeScript, JavaScript, HTML, CSS, and backend technologies in 'infrawise' and 'ragscope' descriptions) suggests a broad interest in technology.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication for technical contexts.