Software Engineer with 7+ years of experience building backend systems, API integrations, AI-powered applications, and business workflow automations. I help companies turn manual operations into reliable systems by connecting platforms, automating repetitive work, and building tools that support real business processes.
My work includes:
• backend development and API integrations
• AI assistants and LLM-powered workflows
• Shopify, Make, and Shopify Flow automation
• order processing, fulfillment, pickup, and customer notification workflows
• reporting, dashboards, and
• AWS deployment, CI/CD, and cloud infrastructure
I’m especially strong in projects that require both technical implementation and workflow thinking, where the goal is not just to build something functional, but to make operations cleaner, faster, and more dependable. That includes integrating multiple systems, handling edge cases, improving reliability, and making sure the final process is practical for the team using it.
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.
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