Software Engineer with 7+ years of experience building backend systems, API integrations, AI-powered applications, and business workflow automations.
I build practical systems that connect tools, automate repetitive work, and make business processes easier to run. My strength is combining backend engineering with workflow thinking: clear API contracts, reliable data flow, status tracking, validation, retries, audit logs, and simple operator-friendly tools.
My work includes:
• backend development and REST API integrations
• Python/FastAPI, Django, Java/Spring Boot, TypeScript/React
• AI assistants and LLM-powered workflows
• structured outputs, tool orchestration, validation, and multi-provider fallback
• ecommerce, inventory, shipping, and order-operation automation
• Google Sheets, Apps Script, AppSheet, Make, and Shopify workflow tools
• reporting dashboards, customer notifications, and
• AWS deployment, CI/CD, Docker, Terraform, and cloud infrastructure
Recent work includes building automation systems for inventory workflows, account import tools, procurement reorder dashboards, shipping manifest generation, pickup notification flows, and full-stack AI portfolio projects. These projects focus on reducing manual work, preventing missed steps, improving visibility, and making workflows dependable for day-to-day operations.
I’m a good fit for roles or projects that need both engineering implementation and process thinking. I can help clarify the workflow, connect the right systems, handle edge cases, and build tools that are practical for real teams to use.
Experience: 2 - 5 years
Experience: 2 - 5 years
7+ years designing, building, and maintaining REST APIs for business applications using Java (Spring Boot) and Python (Django/FastAPI). Experienced in API integrations, authentication, pagination/filtering, error handling, performance tuning, and producing stable API contracts for frontend consumption (Angular/React). Also built reporting/automation pipelines that expose data via APIs and structured outputs.
Experience: 1 - 2 years
Experience: Less than 6 months
Experience: 1 - 2 years
Built and deployed FastAPI backends for production-style AI applications: REST endpoints, async workflows (job_id + worker), SSE/streaming updates, structured request/response validation (Pydantic), and integrations with LLM providers and external tools. Implemented reliability features like retries/fallbacks, quotas/rate limits, persistence (SQLite/S3/Redis), and observability (OpenTelemetry → Sentry).
Experience: 6 months - 1 year
Built production-oriented AI automations using LLM tool orchestration: async job execution, structured outputs/validation, provider fallbacks, and usage quotas. Automated workflows for data extraction, report generation (PDF/Email), and delivery, deployed on AWS with monitoring (OpenTelemetry → Sentry).
Experience: Less than 6 months
Used Terraform to provision and manage AWS infrastructure for production-style projects, including IAM roles/policies, S3, CloudFront, API Gateway, Lambda/ECR, Route 53, and deployment automation via GitHub Actions. Comfortable with modules, variables, remote state, and environment-based configs; focused on repeatable, version-controlled infrastructure.
“For years, I maxed out my hours, got burnt out, and the quality of my work would start to go down. I decided to take the leap, hire correctly, and now it frees up my time to focus on growing the business.”
Tyler Gies
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