Backend Software Engineer focused on AI systems, automation, API integrations, data pipelines, and internal platforms.

I build backend services, operational tools, AI/RAG assistants, ETL workflows, and API integrations that reduce manual work, improve data reliability, and make business processes easier to monitor, audit, and scale.

• Backend systems, APIs, workers, queues, and internal platforms
• AI/RAG assistants with controlled context, provider fallback, and execution boundaries
• API integrations across business systems, CRMs, ERPs, dashboards, and reporting flows
• Automation pipelines using Python, GitHub Actions, Cloudflare Workers, SQL, and third-party APIs
• Data reliability, traceability, logs, reprocessing flows, and operational observability
• Developer-facing documentation, architecture notes, and project write-ups

My work focuses on building systems that make business operations more reliable, automated, traceable, and easier to scale.

• Turning manual workflows into backend services, automations, and data pipelines
• Connecting business systems through APIs, workers, scheduled jobs, and reporting flows
• Building internal platforms for operations, support, data visibility, and decision support
• Designing AI/RAG assistants with controlled context, clear boundaries, and backend-driven execution
• Improving reliability through logs, validation, reprocessing flows, and operational traceability
• Creating documentation and technical references that make systems easier to maintain and evolve

I maintain a portfolio of backend, AI, automation, API integration, cloud, security, and systems projects.

Instead of listing every repository here, I keep the full project map on my website with context, technical focus, implementation notes, and links to the relevant GitHub repositories.

• Backend systems and API integration projects
• AI assistants, RAG workflows, and internal platform experiments
• Automation pipelines, workers, ETL routines, and reporting flows
• Cloudflare Workers, Python, FastAPI, TypeScript, PostgreSQL, and cloud deployment examples
• Implementation context, technical decisions, project documentation, and public repository links

Backend & APIs Python · FastAPI · Node.js · TypeScript · JavaScript · REST APIs · Webhooks · API integrations · OAuth · JWT · backend validation · service boundaries

Data & Automation PostgreSQL · Supabase · SQL · ETL · GitHub Actions · Python automation · Deluge · Zoho Creator · Google Sheets · Looker Studio · Power BI

AI Systems RAG · LLM APIs · AI assistants · prompt boundaries · context loading · provider fallback · vector memory · local LLM experiments · ChromaDB · Ollama

Cloud & DevOps Cloudflare Workers · D1 · KV · AWS EC2 · S3 · Lambda · RDS · Docker · CI/CD · observability · logs · scheduled jobs

Engineering Practices System design · API-first architecture · traceability · reprocessing flows · audit-friendly data models · documentation · operational tooling

I work across backend engineering, systems integration, automation, data workflows, cloud infrastructure, and applied AI.

My experience is centered on building software for real operational environments: internal platforms, API integrations, reporting pipelines, automation routines, technical dashboards, AI-assisted workflows, and business process tooling.

For the full career profile, experience, education, certifications, and languages, see: