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Building AI agents and autonomous systems that actually work

AI Agents LLM Systems Backend Automation


About

  • Building at Gojek by day, hacking on agents by night
  • Deep interest in systems that learn, adapt, and act autonomously
  • Backend engineer who moved upstream, now obsessed with orchestration and tool use
  • Believe the best systems are simple, composable, and self-correcting
  • Building toward: agents that reliably accomplish complex tasks

Current Focus

AI Agents: tool use, memory architectures, planning & reasoning loops

LLM Systems: orchestration patterns, evaluation pipelines, prompt engineering at scale

Backend & Infra: distributed systems, high-throughput APIs, data pipelines

Automation: workflow engines, developer tooling, removing humans from the loop

Tech Stack

Languages

Java Go TypeScript Python

Backend

REST gRPC WebSockets Microservices Go

Infrastructure & DevOps

Docker Kubernetes Terraform GitHub Actions GitLab CI/CD Redis PostgreSQL Elasticsearch

Cloud

AWS

Agents

Claude Code Codex OpenClaw

Tools

Git Linux

Philosophy

Systems thinking over isolated solutions. The best leverage comes from building primitives that compound: small, correct pieces that compose into something greater. Automate the repeatable, design for failure, and always leave the system better than you found it.

Stats

Connect

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