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Drefan Mardiawan
PROFESSIONAL ENGINEERING PROFILE • DREFLABS

Building Systems
Since 2009

Drefan MardiawanFull Stack Engineer | Enterprise Solution Architect | AI Engineer | Tech Leader

Signature Motto

"Engineering systems that survive scale."
Key Engineering Highlights
15+ Years Commercial Engineering
Millions Citizens & Users Served
Enterprise Solution Architecture
Province-Wide GovTech Super App Architecture
Dedicated NVIDIA H200 AI Cluster Infrastructure
High-Stakes Cyber Defense Advisory
B2B SaaS Ecosystems & POS
Public Sector Digital Transformation

15+ Years

Commercial Engineering

10+ SaaS/AI

Digital Products Built

GovTech & Defense

Public Sector Advisory

Millions

Citizens & Users Served

99.999%

Proven Uptime SLA

Worldwide Remote

Work Preference

CHAPTER 02

Signature Works (Engineering Case Studies)

Four flagship engineering architectures structured as Principal Solution Architect case studies.

Sustainability & Social EnterpriseEnterprise Circular Economy Platform

Sisa Bermakna APP

Role: Founder & Principal Solution Architect

Problem

Organizations, governments, and communities often struggle to efficiently manage surplus resources, resulting in operational waste, fragmented distribution, and limited visibility across the resource supply chain.

Solution / Architecture

Designed an enterprise-grade circular economy platform enabling businesses, governments, and communities to manage, redistribute, and optimize surplus resources through intelligent logistics, real-time matching, modular services, and scalable digital infrastructure built with Next.js, Node.js, and PostgreSQL.

Business Impact

Enabled organizations to improve resource utilization, reduce operational waste, strengthen sustainability initiatives, and support circular economy programs through a scalable enterprise platform.

Technology Stack

Next.js • Node.js • PostgreSQL • Docker • Tailwind CSS

Private AI InfrastructureNVIDIA H200 GPU Cluster

Narrativa-X AI

Role: Founder, Enterprise AI Architect & Lead Engineer

Problem

Enterprise organizations require advanced RAG and LLM intelligence capabilities but face severe compliance, privacy, and latency risks when routing proprietary intelligence through third-party public AI APIs.

Solution / Architecture

Designed a fully self-hosted Enterprise AI platform powered by a dedicated NVIDIA H200 GPU Cluster, integrating private Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and on-premise inference infrastructure for enterprise environments.

Business Impact

Reduced enterprise document analysis from hours to seconds through high-performance local inference while maintaining enterprise-grade security, privacy, and zero external AI dependencies.

Technology Stack

NVIDIA H200 GPU Cluster • vLLM • PyTorch • Python • LangChain • Vector Database • Next.js

GovTech & Public ServiceGovernment Digital Super App

JNN Super App

Role: Chief Solution Architect

Problem

Government services were fragmented across hundreds of independent systems, creating inconsistent citizen experiences, duplicated processes, and limited accessibility to public services.

Solution / Architecture

Architected a province-wide Government Super App designed to unify thousands of public services into a single citizen-centric platform utilizing scalable backend services, centralized integration architecture, enterprise APIs, and infrastructure hosted within the Central Java Provincial Government Data Center.

Business Impact

Enabled citizens to access government services through a unified digital platform while supporting large-scale digital transformation, improving service accessibility, operational efficiency, and inter-agency collaboration across Central Java Province.

Technology Stack

Next.js • Node.js • PostgreSQL • REST API • Government Data Center Infrastructure

B2B SaaS & Hospitality POSMulti-Tenant Commercial SaaS

MenuFlow ID

Role: Product Architect

Problem

Commercial food and beverage enterprises struggle with fragmented POS terminal synchronization, order latency, inventory drift, and high transaction failure rates during peak dining hours.

Solution / Architecture

Architected a cloud-native multi-tenant QR ordering and POS ecosystem with real-time inventory synchronization, strict ACID transactional guarantees, and automated offline-first fallback mechanisms.

Business Impact

Streamlined operational throughput across multi-location F&B chains, eliminated inventory drift, and reduced order processing overhead by 45%.

Technology Stack

Next.js • TypeScript • PostgreSQL • Supabase • REST API

CHAPTER 03

Engineering Principles

Six non-negotiable architectural tenets governing every system designed at DREFLABS.

01

Business First

Technology is an engine for business outcomes. Every line of code, database index, and architectural pattern must directly drive enterprise efficiency, user velocity, or revenue.

02

Architecture over Framework

Frameworks come and go; decoupled, domain-driven architectural patterns endure. Build systems around resilient domain boundaries rather than transient NPM packages.

03

Predictability

Systems must behave deterministically under peak load, unexpected traffic spikes, network partitions, and edge failures. Zero surprises in production.

04

Data Sovereignty

Data security, privacy compliance, and strict authorization protocols are foundational non-negotiables, especially in high-trust government and enterprise environments.

05

Zero Downtime

Architect for multi-region resilience, failover automation, graceful degradation, and a non-negotiable 99.999% SLA across all critical paths.

06

Developer Experience

Clean code craftsmanship, self-documenting type systems, strict linting, and friction-free CI/CD pipelines empower engineering teams to ship fast with total confidence.

CHAPTER 04

How I Work: The Execution Engine

A rigorous 6-phase engineering pipeline from initial problem audit to automated zero-downtime production telemetry.

PHASE 01

Discovery

Deep-dive audit of business requirements, domain constraints, existing bottlenecks, and user traffic profiles.

PHASE 02

Architecture

Designing data schemas, API contracts, domain boundaries, security models, and cloud infrastructure topology.

PHASE 03

Validation

Prototyping critical path performance, stress-testing database queries, and verifying data compliance.

PHASE 04

Engineering

Implementing clean, type-safe code using modern stack conventions, strict linting, and automated unit testing.

PHASE 05

Deployment

Executing zero-downtime rolling releases with automated smoke testing, database migrations, and health checks.

PHASE 06

Monitoring

Continuous real-time telemetry, error tracking, latency distribution metrics, and automated alert systems.

CHAPTER 05

Decision Framework (CTO Blueprint)

How trade-offs, technologies, databases, and deployment strategies are evaluated under enterprise engineering standards.

How I Choose Technology

Framework novelty vs. Long-term Maintainability?

Prioritize ecosystem maturity, strong TypeScript support, high community velocity, and predictable memory footprint over transient trends.

How I Choose Databases

Relational ACID vs. Document vs. Vector?

PostgreSQL for relational integrity and complex joins; Redis for sub-millisecond caching & rate-limiting; PGVector/Vector DBs for AI embeddings.

How I Design APIs

REST vs. GraphQL vs. RPC?

Contract-first REST with strict Zod/TypeScript validation for public interfaces; Server Actions & RPC for tight web app integration; gRPC for internal microservices.

How I Build AI Systems

Raw LLM APIs vs. Private GPU Infrastructure?

Deploy self-hosted open-weights LLMs on dedicated NVIDIA H200 GPU clusters with vector indexing, ensuring 100% data sovereignty and zero reliance on third-party APIs.

How I Scale Systems

Vertical Scaling vs. Horizontal Microservices?

Start with clean modular monoliths, then split high-throughput sub-domains into containerized worker nodes behind load balancers with read-replicas.

How I Deploy

Manual SSH vs. Immutable CI/CD Pipelines?

Immutable Docker container images deployed via GitHub Actions CI/CD with automated migration checks, rollback triggers, and zero-downtime DNS switches.

CHAPTER 06

Engineering Storyline (2009 – Today)

15+ years of continuous architectural progression.

2009

First Engineer

PT. Surya Prima Tama Megah

Began commercial technical career specializing in IT systems maintenance, hardware diagnostics, and customer technical operations.

2013

Industrial Operations & Tech Lead

Rockatory Mining & CV. Indomineral Samektha

Directed industrial supply chain logistics, resource tracking automation, and corporate IT infrastructure management for nearly a decade.

2018

GovTech & High-Stakes Cyber Advisory

TPPD Central Java • CCIC National Police HQ • Siber Polda Jateng

Advised regional government leadership and national police cyber units on digital transformation, cyber threat analysis, and civic data integration.

2023

Founded DEMA Digital Asia & AI Architecture

CEO & Principal Solution Architect

Founded software engineering studio delivering 10+ SaaS, AI platforms, and civic Super Apps including JNN Super App (Central Java Province) and self-hosted NVIDIA H200 AI infrastructure.

Today

Principal Architect & Engineering Leader

DREFLABS Ecosystem

Architecting next-generation autonomous AI systems, enterprise SaaS platforms, and digital transformation consulting for global clients.

CHAPTER 07

Artifact Export Suite

Need a traditional recruitment artifact? Export this Personal Engineering OS into specialized formats designed for ATS parsers or executive presentations.