Arif Rahman
Arif Rahman

Senior Software Engineer

Actively looking · Member since 23 Oct 2026
Location
Indonesia
Desired salary
Unspecified
Work preference
Remote Only / Full Time, Contract, Freelance
Experience level
Senior

About

Professional summary

I am a Senior Software Engineer with more than four years of experience designing scalable backend systems, enterprise microservices, streaming pipelines, and production AI/RAG architectures.

I specialize in high-concurrency Go services, distributed systems, Kubernetes orchestration, and database performance optimization. I build reliable APIs and asynchronous systems using Go, Python, Node.js, TypeScript, SQL, and Rust.

I have delivered measurable performance improvements, including scaling backend throughput to 2,868 RPS, reducing RAG ingestion freshness from minutes to seconds, and cutting database query latency by more than 99%.

I have hands-on experience with cloud-native infrastructure, CI/CD, messaging systems, caching, vector databases, security architecture, and multi-tenant authorization. My work includes Kubernetes, Docker, PostgreSQL, MongoDB, Redis, Apache Pulsar, RabbitMQ, and Ory Stack.

I am experienced in remote-first collaboration with global enterprise clients and can work flexibly across US, European, and APAC time zones. I am available for worldwide remote software engineering and consulting roles.

Skills

51 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Senior Software Engineer / Consultant Independent Contractor

Delivered remote software and media-technology solutions for more than seven enterprise clients. Architected high-concurrency Go services, microservices, RAG ingestion pipelines, cloud integrations, and scalable backend systems.

Scaled backend throughput from approximately 25 RPS to 2,868 RPS through Go worker pools and PostgreSQL connection-pool tuning. Improved RAG freshness from 15–25 minutes to 50–90 seconds using LlamaCloud polling, pgvector materialization, and Redis mutex locking.

Optimized ingestion, video delivery, database queries, and frontend payloads. Reduced MongoDB query latency from 55 seconds to under 180 ms, stabilized BullMQ/Redis processing, implemented Google Drive synchronization, and designed WebRTC VoIP, zero-trust multi-tenant, and ReBAC solutions.

Engineer (Contract) PT Kalimantan Energi Lestari

Developed Python automation scripts for heavy-machinery telemetry, soil-remediation tracking, and operational metrics in the natural resources sector.

Eliminated manual spreadsheet workflows and contributed to a 20% operational-efficiency improvement. Automated environmental indicators across more than 10 mining concessions and designed structured audit data models supporting full regulatory compliance.

Education

Learning history

Universitas Sriwijaya

Bachelor of Engineering, Mining Engineering

Engineering foundation with coursework in Applied Mathematics, Numerical Computation, Statistics, and Computer Applications. Graduated in October 2020.

This professional hasn’t added portfolio projects yet.

This professional hasn’t listed any services yet.

Jobs Talent AI Tools Salaries
Menu