Rival Arya
Open for backend consulting

Rival Arya Pirmansah

Your backend is the bottleneck. I fix that.

40min → 1min import · 108× faster response times · APIs that scale

Discuss your backend problem
Node.jsGoPythonPostgreSQLMongoDBRedisDockerGCP
rifall.aryap@gmail.com+62 838-2746-8104Garut, Indonesia

Case Studies

Deep dives into specific technical problems — what broke, how I diagnosed it, and what changed.

Case Study· Personal Project

Building a Public Face Recognition API — And Why I Over-Engineered It

Started as a computer vision experiment, ended as a production API with sub-2s inference across 20K+ facial records. The technical decisions were sound. The architecture wasn't.

20K+

Facial records

737 ms

Fastest endpoint

FaceNet512

Model

Computer VisionBackendPythonFastAPIFirebase
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Case Study· Berijalan (seva.id)

Reducing Excel Import from 40 Minutes to 1 Minute

A ~100MB automotive inventory import was silently hanging for 40 minutes. I diagnosed four root causes and restructured the pipeline — cutting it to under 1 minute.

40 min

Before

~1 min

After

97% faster

Improvement

PerformanceBackendNode.jsPostgreSQL
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Case Study· Personal Project

Why Your Database Is Slow (It's Not the Hardware)

Two identical APIs, same 8.8M row dataset, different query plans. The result: 666× faster on single-record lookups, 108× on list queries — without touching the server.

8.8M rows

Dataset

666×

Best speedup

99.85%

Latency reduction

PerformanceDatabaseGoPostgreSQL
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Case Study· Personal Project

Inserting 1 Million Records into MongoDB — What Actually Makes It Fast

A benchmark across 4 approaches — row-by-row, batch 1K, batch 10K, and Go goroutines — on a 1GB VM. The difference between the worst and best: DNF vs 20 seconds.

1M rows

Dataset

20s

Best time

3m 19s

Worst (completed)

PerformanceBackendNode.jsGoMongoDB
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Core Projects

Production systems demonstrating performance optimization and scalability.

Hobby Projects

A collection of personal experiments where I explore ideas, prototype concepts, and test new technologies, including AI, computer vision, and real-time systems.