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Are you seeking a high-agency, senior software architect to bridge traditional enterprise backends, high-throughput IoT telemetries, and cutting-edge AI-driven agent workflows? With over 20 years of software engineering experience and dual credentials as a Google Cloud Professional Cloud Architect and Professional Data Engineer, I design, build, and orchestrate robust, production-ready systems that are resilient, automated, and highly secure. From developing custom Model Context Protocol (MCP) servers to deploying isolated, ephemeral Docker sandboxes on Azure, I help mid-market to enterprise companies automate manual workflows, slash cloud costs, and build custom AI-powered applications that drive massive business value. 🌟 CORE COMPETENCIES & SERVICES 1. Autonomous AI Agents & Custom MCP Integrations • Bespoke MCP Servers: Built Node.js MCP servers enabling LLMs to run natural-language queries and secure updates directly over clinical databases. • AI Agent Sandboxing: Launched Azure platforms orchestrating isolated, ephemeral Docker sandboxes running Claude Code and Cline to process tasks via MS Teams. • Long-Term Memory: Bridged sandboxes to Segnog memory (FalkorDB graph and local Gemma embeddings) via SSE proxies, reducing latency to under 0.3 seconds. 2. Multi-Cloud Architecture, DevOps & IaC • Multi-Cloud: Deep expertise in AWS, GCP, and Azure, optimizing resources and enforcing compliance. • IaC: 100% automated provisioning and drift management using Terraform and AWS CDK for reproducible environments. • Container & CI/CD: Deployments using Kubernetes (GKE), Istio, and pipelines (GitHub Actions, CircleCI, GitLab, Bitbucket). 3. High-Throughput Backends & IoT Telemetry • IoT Backend Scale: Engineered medical IoT backends processing 1,000+ sensor records per second into AWS Timestream with real-time analytics. • Microservices Design: Building robust, highly concurrent microservices in Golang and Python (Django, FastAPI), communicating via Kafka, RabbitMQ, or NATS. • Databases & Search: Advanced query optimization and spatial architecture using PostgreSQL (with PostGIS), Cloud SQL, ElasticSearch, and Firestore. 💼 FEATURED CLIENT SUCCESS STORIES 🚀 Serverless Medical SaaS & Teams-Integrated AI Agents • Architected serverless diagnostics billing, clinical faxing, and agreement SaaS. Built TypeScript MCP servers for secure clinical queries and NanoClaw/OpenClaw AI agent sandboxes on Azure running Claude Code to process complex coding tasks. 🚀 Django Backend & Spatial Infrastructure • Engineered a Django backend deployed on GCP Cloud Run. Implemented robust credential mounting using Google Cloud Secret Manager. Developed a custom Gmail OAuth2 authentication system for verified enterprise delivery, and built a high-availability infrastructure utilizing PostGIS, Cloud Tasks, and Cloud Scheduler. 🚀 GKE Microservices for Enterprise Loyalty • Developed scalable microservices for a high-volume loyalty system using Golang and Python, deployed on GKE (Google Kubernetes Engine) with CI/CD fully automated via Bitbucket Pipelines. 🛠️ MY TECHNICAL TOOLBOX • Languages: Golang, Python, TypeScript, JavaScript, Java, C++, C#, Swift, SQL • Clouds: AWS (EC2, Lambda, Timestream), GCP (Cloud Run, GKE, GCE), Azure, Cloudflare • DevOps: Terraform, AWS CDK, Docker, Kubernetes (GKE), GitHub Actions, CircleCI, GitLab, Bitbucket Pipelines, Jenkins • Databases & Queues: PostgreSQL (PostGIS), AWS Timestream, FalkorDB, ElasticSearch, SQLite, Cloud SQL, Firestore, Kafka, NATS, Pub/Sub • AI & LLMs: Model Context Protocol (MCP), Claude Code, OpenAI and Gemini APIs, local LLMs (Llama 2, Mistral), PyTorch • Frameworks: Django, Spring Boot, React, Next.js, Stripe, ExpressJS, NestJS, GraphQL, Web Speech API 🏆 EDUCATION & ACTIVE CERTIFICATIONS • Google Cloud Professional Cloud Architect (Active) • Google Cloud Professional Data Engineer (Active) • Proctored Upwork Skill Certification in Python Development (Top Tier) • M.S. in Electronic Engineering (Game Technology) – Institut Teknologi Bandung (ITB) • B.E. in Informatics Engineering (Distributed Systems) – Institut Teknologi Bandung (ITB) • HackerRank Certified SQL Advanced • Oracle Certified Associate (Java SE 5/SE 6) 🤝 WHY COLLABORATE WITH ME? • High-Agency: I take full ownership of your architecture, security, and cloud cost optimization. • AI Native: Proven experience building real-world MCP servers and secure, containerized AI agent sandboxes. • Security First: Leveraging Secret Managers, secure VPNs, and strict IAM to safeguard user and enterprise data. • Clean Code: Domain-driven design with robust test coverage (90%+ target). Let's discuss how we can scale your infrastructure, reduce your cloud spend, or build your next custom AI workflow. Click "Invite" or "Send Message" to schedule a brief discovery call.

I build AI-powered systems that work while you sleep. Hi 👋 I'm Yoga, an Full Stack Developer & Automation Engineer with 5+ years of experience building production system end-to-end, from infrastructure to frontend. I turn messy manual workflows into clean, automated pipelines: → AI Agents? Built and deployed. → LLM pipelines? Designed and optimized. → RAG systems? Vector DB, embeddings, retrieval. → Content automation? Scraping, transcription, analysis. → Workflow automation? n8n, Zapier, Make. → Infrastructure? Docker, CI/CD, VPS, monitoring. → Networking? VPN, Firewall, Routing & Switching, RADIUS. What makes me different: I don't just build the AI part. I build the whole system around it, the backend, the infra, the deployment, the monitoring. You get one engineer who handles architecture to production. I've operated and maintained 150+ services accessed globally. I know what it takes to keep systems running reliably at scale. Startups building 0→1? I'm your guy. Existing systems that need AI integration? Let's talk. If it can be automated, I'll automate it. If it needs to scale, I'll make it scale. Let's build something that runs itself 😊 Keywords: AI Agents, LLM, RAG, Vector Databases, Claude, OpenAI, Langchain, Python, Rust, Node.js, Go, React, Next.js, FastAPI, n8n, Zapier, Make, Docker, Kubernetes, Terraform, CI/CD, PostgreSQL, WireGuard, MikroTik, Linux, DevOps, Infrastructure, Automation, Content Pipeline, Whisper, Web Scraping, API Integration, Routing & Switching.

I'm a Google Cloud Professional Architect and Cybersecurity Engineer with 18+ years of hands-on experience. And I build GCP environments where security isn't bolted on at the end. It's engineered from the ground up. In today's evolving threat landscape, a reactive security posture is a liability. I specialize in proactively identifying vulnerabilities and architecting multi-layered defense systems on GCP to protect mission-critical data and ensure operational resilience. My approach integrates security into the entire cloud lifecycle, from initial design and CI/CD pipelines to continuous monitoring and incident response. My key differentiator is an offensive security mindset enhanced by AI. I leverage Large Language Models (LLMs) to simulate sophisticated attack vectors and automate threat modeling, allowing me to uncover blind spots that traditional security tools often miss. This "think like an attacker" methodology ensures a more robust and future-proof security posture for your organization. My areas of expertise include: - Cloud Billing & Cost Optimization: Implementing FinOps Strategy, Cost Optimization & Resource Management. - Cloud Security Architecture: Designing secure-by-default GCP landing zones and infrastructure. - Threat Detection & Posture Management: Implementing and managing GCP Security Command Center and other CSPM tools. - AI-Enhanced Offensive Security: Using LLMs for advanced penetration testing and vulnerability discovery. - Infrastructure as Code (IaC) Security: Securing Terraform scripts and CI/CD pipelines against misconfigurations. - Container & Kubernetes (GKE) Security: Hardening containerized environments and implementing service mesh security. - Compliance & Governance: Architecting solutions to meet frameworks like ISO 27001 and SOC 2. Let's connect to discuss how I can secure your Google Cloud environment.

Data Engineer specializing in Python ETL pipelines for cloud data warehouses. I build automated data engineering solutions processing millions of records daily. From real-time trading data to healthcare analytics 6+ years building production ETL systems on GCP and AWS using Apache Airflow, Dagster, and modern data stacks. I architect data engineering solutions that handle schema changes, ensure data quality, scale with demand, and prevent 3 AM pipeline emergencies. DATA ENGINEERING & ETL EXPERTISE ETL Pipeline Development & Data Engineering I design scalable ETL pipelines and data engineering infrastructure using Python with Apache Airflow or Dagster. My data engineering solutions include automated error handling, data validation, and comprehensive monitoring. Cloud Data Engineering (GCP & AWS) I build cloud-native data engineering solutions and ETL pipelines on modern platforms: • GCP: BigQuery, Dataflow, Cloud Functions, Pub/Sub • AWS: Redshift, Glue, Lambda, S3, Kinesis Enterprise data warehouse migration: Reduced ETL processing time 60% moving to GCP. Python Data Engineering & Pipeline Orchestration Python expert for data engineering and ETL development. I implement robust data workflow orchestration using Apache Airflow and Dagster with pipeline monitoring for data quality and reliability. KEY DATA ENGINEERING & ETL PROJECTS Election Data Pipeline - Python + Dagster data engineering solution extracting campaign finance data. Automated 40 hours/week of manual processing. Real-Time Trading Pipeline - Multi-layer data engineering architecture for algorithmic trading. Achieved <100ms latency, 100% uptime for streaming data. Healthcare Data Migration - Led enterprise ETL migration to GCP BigQuery. Result: 60% faster processing, 50% better performance. ML Feature Engineering - Built end-to-end data pipeline for AirAsia's recommendation system. Processed millions of records, increased engagement 25%. Web Scraping ETL - Automated data engineering solution combining scraping with warehousing using Python and Apache Airflow. DATA ENGINEERING TECH STACK ETL & Orchestration: Apache Airflow, Dagster, Apache Spark, Kafka, dbt Languages: Python (Expert), SQL (Expert) Cloud Platforms: GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda) Databases: PostgreSQL, MongoDB, BigQuery, Redshift, Snowflake Python Libraries: Pandas, PySpark, SQLAlchemy, Apache Beam Infrastructure: Terraform, Docker, Kubernetes, CI/CD. IDEAL PROJECTS • ETL pipeline development from scratch (Python, Airflow, cloud platforms) • Data warehouse engineering and cloud migration (BigQuery, Redshift, Snowflake) • Real-time data engineering and streaming ETL implementation • Legacy ETL modernization and data pipeline migration • Web scraping data engineering with ETL workflows • Data integration connecting multiple sources • ML data pipeline engineering for feature engineering LET'S BUILD YOUR DATA ENGINEERING SOLUTION Available for fixed-price data engineering projects and long-term ETL contracts. I work across US, European, and Asian time zones (GMT+7). Ready to discuss your data engineering and ETL needs? Send me a message. I respond within 2 hours during business hours.

I’m a Senior Software Engineer with 15+ years of experience building production web and mobile applications. My primary focus is frontend development, where I build scalable applications using clean architecture, reactive patterns, and strong performance optimization practices. I have extensive experience working with modern frameworks, especially Angular, and I apply consistent engineering standards to ensure maintainability and long-term scalability. In addition to web applications, I also develop cross-platform mobile apps using Ionic and Flutter. I integrate native mobile features such as biometric authentication and build device integrations including Garmin wearable devices. I am currently deepening my expertise in Flutter, actively building applications and expanding my mobile development capabilities while applying the same engineering principles used in production systems. My background also includes backend development using Go and PHP, working with microservices, REST APIs, and message queues. This allows me to understand the full system architecture and integrate frontend applications smoothly with backend services. For the past 3 years I have actively leveraged AI tools in my daily development workflow, which significantly improves development speed, debugging efficiency, and code quality. I use AI to accelerate coding, refactoring, troubleshooting, and building internal tooling while maintaining clean and maintainable production code.

13 Years+ experience | 5 Years+ on Cloud/DevOps | 10K+ Daily Active Users Arya has did expertise on IT solution for many client companies, including software development, DevOps, process technologies, data reporting for machinery manufacturing, property management, social media, e-commerce, web profile, etc. Technologies used: General Specialities : Technology, Document Analysis, DevOps specialist, IT Solution 🔧 Technical Specialties: ✔️ Back-end: PHP, Laravel Framework, Node.js, Express.js ✔️ Front-end: HTML, CSS, JavaScript, jQuery, Ajax, Bootstrap, SemanticUI, Vue.js ✔️ Mobile: React Native ✔️ Database: MySQL, SQL Server, PostgreSQL ✔️ DevOps: Docker, Kubernetes, Gitlab, Ansible, Jenkins, SonarQube, Prometheus, Grafana, DigitalOcean, AWS, GCP, Redhat Openshift ✔️ Test tools: PHP Unit, Mocha, Chai, JMeter, k6