Golang Backend Engineer | Applied AI | AI Infrastructure
I build backend systems, AI-powered SaaS products, and automation infrastructure using Go, Python, PostgreSQL, Docker, Kubernetes, and LLM APIs.
My current focus is building production-grade backend and AI systems with an emphasis on concurrency, distributed workloads, agent systems, data pipelines, and cloud deployment.
- Go services and APIs
- Concurrent workers and background processing
- PostgreSQL-backed applications
- REST APIs and SSE
- Authentication and authorization
- Data pipelines and ETL
- Dockerized services and cloud deployments
- LLM-powered applications
- RAG systems
- AI agents and tool calling
- Structured LLM workflows
- AI automation
- Vector search and retrieval systems
- MCP integrations
I've built and worked on production SaaS applications involving:
- AI-powered domain intelligence
- Lead generation and analysis
- Automated data extraction
- Internal knowledge assistants
- AI-powered workflows
- Payments and subscription systems
My pinned repositories showcase the projects that best represent my engineering work across Go, backend systems, AI, and SaaS development.
Languages
Go · Python · TypeScript · SQL
Backend
PostgreSQL · Redis · REST · SSE · Background Workers
AI
LLMs · RAG · AI Agents · Tool Calling · MCP
Infrastructure
Docker · Kubernetes · AWS · GCP · Linux · CI/CD
Frontend
React · Next.js
- Building production backend systems with Go
- Going deeper into distributed systems and concurrency
- Building AI agent infrastructure
- Exploring AI platform engineering
- Open to Golang, Backend, Applied AI, and AI Infrastructure opportunities
Build real things. Ship them. Learn from production.