Dicky Ibrohim

Background

About Dicky Ibrohim

Solution Architect | AI-Accelerated Delivery | Secure & Scalable Systems Currently operating as a Web Engineer with an Architecture-First approach. I design business logic, database schemas, and reliability strategies, then orchestrate multi-stack implementations using AI as an accelerator. My core strengths lie in System Design, Technical Validation, and Delivery. For cross-language implementations, I prioritize system orchestration over manual syntax memorization, utilizing an AI-assisted workflow with strict quality gates (code review, testing, observability, security checks) to ensure production-grade results. Focus: Stable, idempotent, and cost-efficient solutions. PROFESSIONAL HIGHLIGHTS (WORK EXPERIENCE): FLASH SALE & HIGH-CONCURRENCY SYSTEM (VPS 2 vCPU): Architecture handling req/min peaks until stock depletion. Design: Concurrency control + idempotency to prevent overselling; dynamic rate-limiting & queueing based on load. Execution: Pre-release stress testing + live metrics monitoring for bottleneck detection. Outcome: Stable during event windows, seamless transactions without crashes, preserved data integrity. ADVANCED WORDPRESS ENGINEERING (Technical Role): Role: Technical Lead (Infrastructure & Logic), not a content admin. Custom Feature: Building complex workflows, automation, and API integrations beyond standard plugins. Security: Malware cleanup, server hardening, and post-incident security audits. Optimization: DB query tuning + caching strategy for maximal performance under load. Deep Debugging: Resolving complex production issues down to the root cause. DATA DISTRIBUTION & BULK OPERATIONS: Export-import & batch update system records) with approval workflows and strict guardrails. Strategy: Phased batching mechanism + query/index optimization to ensure responsiveness on limited resources. Integrity: Multi-layer validation to prevent operational human error. ADVANCED R&D LABS (PERSONAL PROJECTS — Enterprise Simulation): AI FINANCE SYSTEM (Privacy-First Ingestion): Parsing Jenius CC/BCA Statements, receipt OCR & voice input. Sensitive data is redacted before analysis. Outcome: Precise spending insights and automated budgeting recommendations. AI MARKETING AUTOMATION: Automated prospect selection + ML-based outreach personalization. Target Outcome: End-to-end automation from lead enrichment to booked meetings. Stack: Rust (Memory Safety), LLM/ML, BigQuery, PostgreSQL.