Architecting resilient distributed systems at uncompromising scale.
production-runtime-telemetry.log
// BENCHMARK: POSTGRESQL 50-CONN POOL & ASYNC WORKER BATCHING
# High-concurrency stress test under k6 distributed load generator
BASELINE : [|||||...................................] 25.3 RPS (p99 = 2,410ms, db connection starvation)
OPTIMIZED : [||||||||||||||||||||||||||||||||||||||||] 2,868.4 RPS (p99 = 18.2ms, 50-conn sweet spot)
SCALE MULTIPLIER : 109.4× THROUGHPUT GAIN (Zero socket drops over 100,000 requests)
OPTIMIZED : [||||||||||||||||||||||||||||||||||||||||] 2,868.4 RPS (p99 = 18.2ms, 50-conn sweet spot)
SCALE MULTIPLIER : 109.4× THROUGHPUT GAIN (Zero socket drops over 100,000 requests)
➜ Strategy: Tuned PostgreSQL max_connections with pgBouncer transaction pooling.
➜ Worker Pool: Go sync.Pool worker routine with semaphored upstream backpressure.
➜ Status: Deployed to production cluster · 0 dropped transactions.
➜ Worker Pool: Go sync.Pool worker routine with semaphored upstream backpressure.
➜ Status: Deployed to production cluster · 0 dropped transactions.
// MEMORY PROFILING: ASYNC GENERATOR STREAM CHUNKER
# Node.js V8 Heap usage during 50,000+ record bulk data ingestion
PRE-FIX (Buffer.concat) : Heap = 248.6 MB (Frequent GC spikes, risk of container OOM kill)
STREAM CHUNKER (for-await) : Heap = 4.2 MB (Constant flatline memory consumption)
HEAP REDUCTION : 98.3% REDUCTION IN MEMORY ALLOCATION
STREAM CHUNKER (for-await) : Heap = 4.2 MB (Constant flatline memory consumption)
HEAP REDUCTION : 98.3% REDUCTION IN MEMORY ALLOCATION
➜ Architecture: Replaced in-memory array aggregation with micro-batch async generators.
➜ Impact: Services run smoothly on lightweight 512MB RAM container footprints without GC pauses.
➜ Impact: Services run smoothly on lightweight 512MB RAM container footprints without GC pauses.
// QUERY PLANNER: MONGODB COMPOUND ESR (EQUALITY, SORT, RANGE)
# Query analysis on 12,000,000+ historical audit logs
COLLSCAN (Unindexed) : 55,240 ms (55.2 seconds, server CPU spiked to 100%)
IXSCAN (ESR Compound): 178 ms (<0.18s, 0 temp disk sort files)
LATENCY REDUCTION : 99.6% QUERY LATENCY DROPPED
IXSCAN (ESR Compound): 178 ms (<0.18s, 0 temp disk sort files)
LATENCY REDUCTION : 99.6% QUERY LATENCY DROPPED
➜ Index: db.events.createIndex({ tenantId: 1, createdAt: -1, status: 1 })
➜ Result: Instant dashboard analytics for enterprise multi-tenant tenants.
➜ Result: Instant dashboard analytics for enterprise multi-tenant tenants.
// NETWORK EFFICIENCY: RFC 7233 HTTP RANGE VIDEO EXTRACTION
# Frame-accurate commercial ad trimming across 165,000+ daily spots
FULL DOWNLOAD : 22,700 MB per video asset (Exhausts cloud egress quota)
RANGE PARSING : 16 MB metadata slice (EBML header + precise GOP index lookup)
EGRESS SAVED : >99.9% NETWORK BANDWIDTH ELIMINATED
RANGE PARSING : 16 MB metadata slice (EBML header + precise GOP index lookup)
EGRESS SAVED : >99.9% NETWORK BANDWIDTH ELIMINATED
➜ Protocol: Byte-range HTTP requests fetch only container moov atom / EBML cluster headers.
➜ Result: Slashed processing pipeline turnaround time from 4 minutes down to 3 seconds.
➜ Result: Slashed processing pipeline turnaround time from 4 minutes down to 3 seconds.
HIGH-THROUGHPUT PIPELINES ✦ 109× SCALE MULTIPLIER ✦ 98% HEAP RAM REDUCTION ✦ APACHE PULSAR ON 1GB CGROUP ✦ >99.9% NETWORK BANDWIDTH SAVED ✦ 16-LAYER RECURSIVE RAG PIPELINE ✦ 165K+ TV AD SPOTS PROCESSED ✦ WEBRTC IN-BROWSER SOFTPHONE ✦
109×
Throughput Scaling
25 RPS ➔ 2,868 RPS Peak
98%
Heap RAM Reduction
250MB ➔ <5MB True Streaming
768MB
Pulsar JVM Cap
Strict 1GB Container Cgroups
>99.9%
Video Bandwidth Saved
16MB vs 22.7GB via RFC 7233
Database Architecture
25 RPS ➔ 2,868 RPS
PostgreSQL connection starvation resolved via 50-conn pool & worker queues.
p99 = 18.2ms · 0 socket drops
Connection Pool & Worker Batching
Eliminated DB connection churn by introducing strict semaphored worker pools, raising throughput from 25 to 2,868 RPS without dropping a single socket.
Memory Streaming
250MB ➔ <5MB Heap
Async generator chunker replaces array buffering during bulk ingestion.
0 OOM container restarts
Stream Generator Chunking
Designed backpressure-aware stream generator pipelines for multi-gigabyte document batches, slashing Node.js RAM footprint by 98%.
Network Efficiency
16MB vs 22.7GB
HTTP Range (RFC 7233) parser reads EBML headers without downloading full stream.
3s turnaround time
RFC 7233 Video Slicer
Extracted broadcast ad segments by fetching only container headers over byte-ranges, saving >99.9% egress bandwidth across 165K+ TV ads.
Query Optimization
55s ➔ <180ms
Compound ESR index on 12M rows eliminates disk temp sort.
COLLSCAN ➔ IXSCAN
MongoDB Compound ESR Indexing
Restructured queries following the Equality-Sort-Range rule on multi-tenant audit logs, dropping query latency from 55 seconds to sub-200ms.
Vector Synchronization
15m ➔ 50–90s Sync
Proactive polling pipeline with pgvector fast-path index.
16 levels Google Drive
Proactive RAG Vector Sync
Engineered recursive BFS Google Drive traversal up to 16 folder levels, bypassing webhook delays to vectorize 400+ enterprise docs in under 90s.
In-Browser Telephony
In-Browser WebRTC
Client SDK + HMAC cryptographic session authentication.
<1s CRM chatlog sync
In-Browser WebRTC Softphone
Eliminated recurring physical SIM card hardware costs by building a browser softphone with cryptographic token tickets, syncing call logs in real-time.
2022 — PRESENT
Enterprise Platforms
Independent Contractor · Senior Backend Engineer · Remote
Architected distributed systems in Go and Node.js. Scaled database throughput by 109× to 2,868 RPS peak, capped Apache Pulsar JVM heap under strict 1GB Docker cgroups, designed recursive BFS multi-tenant file ingest, and accelerated enterprise RAG data freshness from 25 minutes down to 50–90 seconds.
2021 — 2022
PT Kalimantan Energi Lestari
Engineer (Contract) · Natural Resources Sector · S. Kalimantan
Automated stock tracking and operational data aggregation using Python and SQLite. Built data aggregation scripts and Google Colab workflows to replace manual spreadsheet consolidation, eliminating calculation errors and accelerating daily inventory reporting.
GRADUATED 2020
Universitas Sriwijaya
B.Eng. in Mining Engineering · South Sumatra, Indonesia
Rigorous engineering curriculum focusing on applied mathematics, numerical computation, spatial coordinate modeling, statistics, and scientific programming. Graduated October 2020.