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AWS-focused data engineer with 10+ years building and automating large-scale big-data systems. I design the pipelines that move and process data reliably — batch or streaming — and the cloud platforms they run on. My core stack is Hadoop, Spark, Hive, and data warehousing, paired with deep AWS expertise and four AWS certifications: Solutions Architect (Associate and Professional), Developer (Associate), and Big Data (Specialty). How I help clients: • Design and automate scheduled batch and streaming pipelines end to end, with Python for tooling and glue. • Lead cloud migrations and integrations — moving existing systems into AWS, or wiring them to it cleanly. • Ship containerized and streaming workloads on Docker and Kubernetes. Platform engineering is my specialty. I build internal developer platforms — a clean, self-service overlay on top of cloud and Kubernetes APIs — so your engineers ship faster without fighting the infrastructure underneath. Tell me what you're building, and I'll help you get it running reliably in the cloud.

Is your team still chasing leads manually, managing key work in spreadsheets, or discovering service problems only after customers complain? I turn those workflows into reliable web and mobile products. I can own the full delivery: scoping, technical decisions, frontend, backend, APIs, databases, integrations, cloud deployment, launch, and production support. For 7+ years, I’ve built CRM and multi-branch POS systems, marketplaces serving 500K+ users, React Native apps, monitoring platforms, authentication, and workflow automation across Malaysia, Indonesia, and Thailand. Core stack: Laravel, React, React Native, Go, MySQL, REST APIs, AWS/GCP, Docker, Kubernetes, and CI/CD. You’ll get direct communication, a clear scope, and an engineer who cares whether the product makes the work easier—not just whether the code is finished.

The engineer you call when software, infrastructure, and networking all need to work together. 🚀 Senior DevOps Engineer | Backend Developer | Cloud & Platform Engineer Most technical problems don't exist in a single layer. An application is slow, but the root cause is the database. A deployment fails because of infrastructure. An API works locally but breaks in production because of networking. AI features underperform because the data pipeline was designed incorrectly. My background spans software development, cloud infrastructure, Linux systems, networking, automation, and AI integrations, allowing me to build and troubleshoot systems end-to-end. Over the last 5+ years, I have worked across AWS, GCP, Kubernetes, Docker, Terraform, CI/CD automation, backend APIs, distributed systems, AI-powered applications, and production environments supporting real business operations. 🎯 What I Can Help With ✅ Backend Development (Node.js, Python, Go, .NET) ✅ Cloud Infrastructure (AWS, GCP) ✅ Infrastructure as Code (Terraform) ✅ Kubernetes & Docker Platforms ✅ CI/CD Automation (GitHub Actions, GitLab CI, Jenkins) ✅ Linux Administration & Troubleshooting ✅ Database Design & Optimization ✅ AI & LLM Integrations (OpenAI, RAG, AI Agents) ✅ Monitoring, Observability & Reliability Engineering ✅ Performance Optimization & Cloud Cost Reduction 🔧 Clients Typically Bring Me In For • Building platforms that require both development and infrastructure expertise • Solving production issues that span applications, databases, networking, and cloud services • Modernizing deployment workflows and DevOps practices • Designing scalable cloud-native architectures • Integrating AI capabilities into existing products • Reducing operational complexity and cloud costs 💻 Core Technologies ☁️ Cloud AWS • GCP • Azure ⚙️ Infrastructure Terraform • Docker • Kubernetes • ECS • EKS • Linux 🖥 Backend Node.js • Python • Go • .NET • FastAPI 🌐 Frontend Next.js • React • TypeScript 🗄 Databases PostgreSQL • MySQL • MongoDB • Redis 🚀 DevOps GitHub Actions • GitLab CI • Jenkins • Monitoring • Observability 🤖 AI OpenAI • LLM Integrations • RAG Systems • AI Agents 💡 I work best with startups, SaaS companies, and engineering teams that need a single engineer capable of owning systems end-to-end—from architecture and development to deployment and operations. 🟢 If your project involves software, infrastructure, automation, or AI, let's talk.

Are you looking to build a high-performance SaaS platform, automate a complex supply chain, or integrate secure, production-ready AI into your business workflow? Many developers can write code, but very few understand how to seamlessly blend cutting-edge AI/ML systems with scalable, enterprise-grade architecture while ensuring strict data security (HIPAA, PCI-DSS). I am a Full-Stack Developer and AI/ML Engineer with extensive experience architecting end-to-end solutions for SaaS, Supply Chain, Healthcare (HIS/HMS), and custom ERP systems. Whether you need to build an MVP from scratch or scale an existing enterprise platform, I deliver clean, maintainable code and robust infrastructure. 🚀 Core Expertise & How I Can Help You: AI/ML & GenAI Integration: Building intelligent RAG systems, custom chatbots, and LLM-powered workflows using OpenAI, Anthropic, LangChain, and Vector Databases (Pinecone, Qdrant). Robust Backend & Architecture: Designing secure, high-throughput microservices and APIs using Node.js (NestJS), Python (FastAPI/Django), and PHP, backed by PostgreSQL, MongoDB, or Redis. Modern, Responsive Frontends: Crafting seamless web and mobile interfaces using React, Next.js, Angular, Vue.js, and React Native. Cloud, DevOps & Compliance: Deploying production-ready applications on AWS/GCP/Docker with CI/CD pipelines, keeping security and regulatory standards (HIPAA, GDPR) at the forefront. 🛠️ Technical Snapshot: Frontend: React, Next.js, Angular, Vue.js, React Native, Tailwind CSS Backend: Node.js (NestJS/Express), Python (FastAPI/Django), PHP, Java AI/ML: LLMs, LangChain, Vector DBs, Prompt Engineering, RAG Systems Cloud & Databases: AWS, GCP, Docker, Kubernetes, PostgreSQL, MySQL, MongoDB, Redis Let’s build something scalable. Click the "Invite to Job" or "Hire" button on the top right, and let’s discuss how we can bring your project to life.

Looking for a senior backend engineer who can design and deliver production-ready systems end to end? I build scalable backend platforms, AI/LLM-powered systems, and cloud infrastructure using Go, Django, and Postgres (AGE/GIS) across AWS and GCP. No shortcuts. No outsourcing. You work directly with me, from architecture to deployment. Expect clean code, secure systems, and reliable delivery. ━━━━━━━━━━━━━━━━━━━ ⚙️ Backend & Full Stack ━━━━━━━━━━━━━━━━━━━ ✓ Python (Django, DRF, Flask, Celery, Microservices, GraphQL, Swagger) ✓ Golang (Gin, WebSockets, real-time, high-performance APIs) ✓ JavaScript / TypeScript (React, Next.js, Angular, Vue, Node.js) ✓ PHP (Laravel, WordPress, CakePHP, Symfony, CodeIgniter) ✓ Flutter / Dart - iOS, Android, MacOS, Windows, Linux, Web ✓ REST API, GraphQL, WebSocket, SDK & API integration ✓ Unit & feature testing, TDD, QA before every single delivery ━━━━━━━━━━━━━━━━━━━ 🗄️ Databases ━━━━━━━━━━━━━━━━━━━ ✓ SQL: PostgreSQL, MySQL, MsSQL - design & query optimization ✓ NoSQL: MongoDB, CockroachDB, Redis - real-time & distributed ✓ Vector: Pinecone, ChromaDB - AI semantic search ✓ Big Data pipelines, scraping, ETL workflows ━━━━━━━━━━━━━━━━━━━ ☁️ Cloud & DevOps ━━━━━━━━━━━━━━━━━━━ ✓ GCP (GKE, Cloud Run, BigQuery, Cloud SQL) ✓ AWS (EC2, RDS, EKS, Lambda, S3, VPC) ✓ Azure (IoT Hub, IoT Edge, Stream Analytics, Digital Twins, AKS) ✓ Docker, Kubernetes, Jenkins CI/CD, GitLab CI/CD, Shell scripting ✓ Nginx, Apache Kafka, Prometheus, Grafana, Loki ✓ Linux (Ubuntu, CentOS, RHEL) - bare-metal & cloud ━━━━━━━━━━━━━━━━━━━ 🤖 AI & LLM Integration ━━━━━━━━━━━━━━━━━━━ ✓ Claude API, OpenAI, Higgsfield, Gemini - AI-native app development ✓ LangChain, RAG pipelines, HuggingFace, ComfyUI, prompt engineering ✓ Generative AI, LLM fine-tuning, AI chatbot development ✓ Vibe coding - rapid AI-assisted MVP delivery ✓ Vector DBs: Pinecone, ChromaDB - semantic search & retrieval ━━━━━━━━━━━━━━━━━━━ 🌐 IoT Development | Azure IoT ━━━━━━━━━━━━━━━━━━━ ✓ Azure IoT Hub - device provisioning, telemetry, fleet management ✓ Azure IoT Edge - edge computing, offline inference ✓ Azure Stream Analytics - real-time IoT data processing & alerting ✓ Azure Digital Twins - physical environment modeling & asset tracking ✓ MQTT, AMQP - IoT device protocol integration ✓ End-to-end IoT: device → cloud → application layer ━━━━━━━━━━━━━━━━━━━ 🏗️ Enterprise Infrastructure & Security ━━━━━━━━━━━━━━━━━━━ ✓ Dell EMC PowerEdge R740 - bare-metal, PERC H730P, SAS RAID 5 ✓ CCNA networking - VLANs, routing, FortiGate firewall config ✓ WireGuard VPN mesh, iptables, UFW hardening ✓ LUKS2 encryption, LVM, CIS-compliant Linux partition layout ✓ HashiCorp Vault, Wazuh HIDS, AppArmor, Fail2Ban, AIDE, auditd ✓ Financial-grade, security-hardened private data center operations ✓ UI/UX, Gestalt Principles, Responsive Design, SEO, SaaS architecture Every project gets tested before delivery. Every database schema is optimized from day one. Every line of code is written to be clean and maintainable long after the project closes. 📩 Have a project in mind? Send me a message - I typically respond within a few hours and can start immediately.

Senior Full-Stack Developer with experience across the entire software lifecycle—from requirement engineering and system architecture to frontend development and cloud deployment. Proven ability to work effectively as an independent developer or as a technical lead for specific modules. Technical Stack Frontend: Next.js, React, Angular, TypeScript Backend: NestJS, FastAPI, Spring Boot, Node.js Cloud/DevOps: AWS (Fargate, S3, EC2), Docker, Kubernetes, Nginx, CI/CD Databases: PostgreSQL, Redis, MongoDB (Vector Search/RAG), Qdrant Specialized Experience Microservices: Designing and managing distributed, high-concurrency architectures. Automation & Scraping: Building distributed web crawlers (Scrapy/Playwright) and automated e-KYC/verification systems. AI Integration: Implementing RAG models, LangChain, and machine learning model productionalization. Lifecycle Management: Handling projects from initial requirements through to production-scale deployment and maintenance. Qualifications 4 Years of Professional Experience as a lead developer on high-scale projects. Master of Computing (Research) — Multimedia University B.S. in Computer Science (Honors) — Multimedia University