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I take over Cloud (AWS, GCP) infrastructure that's scaling faster than your team can manage - and make it stable, observable, and cost-efficient. Recent work: Navya Network (Healthcare AI) - 4 months ongoing. Zero-downtime ECS Fargate migration, Databricks cost optimization, multi-region architecture. 99.9% availability with sub-second agent orchestration. Ockam (AI startup) - Led SOC2 compliance from scratch while rebuilding their platform architecture. Invesco (Fortune 500) - Migrated 500+ applications to AWS. Genentech - Built enterprise container platform that cut developer onboarding from weeks to days. What I deliver: Production Kubernetes and ECS at scale. Terraform infrastructure you can actually maintain. CI/CD pipelines that don't break. Observability that tells you what's wrong before customers do. How I work: Async-first, timezone-flexible. I document everything and build for handoff - you get infrastructure your team can run without me. Available for 2-4 week projects or longer engagements. Previously scaled a platform engineering practice from 12 to 150 engineers at Slalom Build. Now running Accelra Technologies and taking select consulting work.

I am a Certified DevOps + Cloud Engineering specialist & AI Fullstack Developer worked extensively as a Cloud Architect, Infrastructure Engineer, Data Engineer, Site Reliability Engineer (SRE), Platform Engineer, Solution Architect, AI Developer, and System Administration Expert for the last 11+ years. 🏅 AWS Certified DevOps Engineer – Professional 🏅 Google Professional Cloud Architect 🏅 Microsoft Certified Azure DevOps Engineer Expert 🏅 Certified Kubernetes Administrator (CKA) 🏅 Docker Certified Associate 📌 Worked as a Sr. Cloud Engineer at American enterprise software company "Solarwinds" used by nearly all Fortune 500 companies 📌 Worked as a DevOps & Cloud Infrastructure Engineer at "Strava" a global fitness platform used by 180+ million athletes across 185+ countries, generating 50+ million activity uploads per week. 📌 Scaled an AI driven Edtech Platform for a Startup "Coursology" to 1M+ users. 💪 Core DevOps & Cloud Engineering Expertise: 🚀 Full-stack Development React, Next.js, Angular.js, Vue, Python, Node.js, PHP/Laravel 🚀 Amazon Web Services (AWS) EC2, ECS, EKS, Lambda, S3, CloudFront, Glacier, RDS, Aurora, DynamoDB, VPC networking, IAM security, CloudWatch monitoring, Route53 DNS, Auto Scaling, ALB/NLB load balancing. 🚀 Google Cloud Platform (GCP) Compute Engine, Cloud Run, GKE, Cloud Functions, Vertex AI infrastructure, Pub/Sub, Cloud Storage, VPC networking, IAM security, Cloud Monitoring & Logging. 🚀 Microsoft Azure Azure VMs, AKS, Azure DevOps, Azure Functions, Azure Storage, Virtual Networks, Azure Monitor, Azure AD, infrastructure deployment using ARM templates and Terraform. 🚀 Infrastructure as Code (IaC) Terraform, CloudFormation, ARM Templates, Pulumi. 🚀 Automation & Configuration Management Ansible, Bash scripting, Python automation. 🚀 CI/CD Pipelines GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Bitbucket Pipelines. 🚀 Containers & Kubernetes Docker containerization, Kubernetes cluster architecture, Helm deployments, autoscaling workloads, service mesh architecture, microservices orchestration, and container security. 🚀 Monitoring, Logging & Observability Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch, GCP Monitoring, Azure Monitor. 🚀 Security & Infrastructure Hardening IAM policy design, VPC network isolation, secrets management, DevSecOps integration, container security scanning, vulnerability management, and SOC2-aligned infrastructure. 🚀 Performance & Cost Optimization Cloud cost optimization, autoscaling infrastructure, high availability architectures, CDN and edge optimization, load balancing strategies, and performance bottleneck analysis. 🚀 MLOps ML pipeline automation, AI model deployment, distributed training infrastructure, experiment tracking, and data pipeline management. 🤝 Typical Projects I Deliver ✔ Cloud Infrastructure Design & Deployment ✔ AWS / GCP / Azure Cloud Migrations ✔ Kubernetes Cluster Setup ✔ DevOps Automation & CI/CD Pipelines ✔ Infrastructure Security Hardening ✔ Observability & Monitoring Systems ✔ High-Availability Production Environments ✔ AI Infrastructure & Data Pipelines I also work extensively with modern AI and real-time infrastructure, including: 🌟AI platform infrastructure 🌟Real-time voice systems 🌟API-driven microservices 🌟high-throughput event systems 🌟scalable AI data pipelines 🌟infrastructure for LLM and AI agent systems I can support both project-based engagements and long-term DevOps partnerships. Availability: 20-40 hours a week / Available on weekends as well if needed Let's Connect!

With over 15+ years of hands-on experience, I am a highly skilled and certified Enterprise Application and Product Engineering professional. I'm 1x Databricks certified and 2x Google certified Professional Data Engineer. I am adept at leveraging the power of Google Cloud, AWS, and Databricks to create innovative and efficient solutions. LICENSES & CERTIFICATIONS ● Databricks Certified Professional Data Engineer Credential: credentials.databricks.com/b3da0de6-1efd-47b2-bf5b-d1b8a83bc1a5 ● Professional Data Engineer - Google Cloud Credential: google.accredible.com/a9d0ae0d-a5e5-433d-b8f4-330f6147c725 ● Professional Cloud Database Engineer - Google Cloud Credential: google.accredible.com/287a4094-e445-401c-9f37-e50915a7ae42 EXPERIENCE Project 1 - Senior Data Engineer (Consultant) ● web3 solution built using Google Cloud Platform (GCP) and Databricks combines proprietary data with patented algorithms to deliver unique insights, increase productivity, and enable fast, actionable decision-making within the crypto economy ● Built Extract pipeline using PySpark, Databricks workflow, Databricks Jobs, and Databricks Delta Tables to fetch Bitcoin, Ethereum, Arbitrum, and Polygon transaction data into the Databricks platform. ● Built Transformation pipelines to apply required business logic to convert the ingested data into meaningful information ● Built load pipeline to store data in Google BigQuery for use in analytics tools. ● Tech Used: GCP, DataBricks, Spark, Python, Apache Airflow, BigQuery Project 2 - Senior Data Engineer (Consultant) ● Project 01: Design and develop a streaming big data ETL pipeline using GCP services ● Built ETL pipeline using Apache Beam, Dataflow, Composer, and Java to read messages from Kaa and Pub/Sub and store the transformed message in BigQuery and Google Cloud Storage (GCS) ● Configured an Apache Kafka cluster in GCP to consume incoming messages ● Use Google Secret Manager to manage passwords and other important info ● Building a streaming Extract, Transform, Load (ETL) pipeline using Dataflow to consume data from the Kafka topics ● Design and build data warehouses using Google Big Query ● Store the data from Dataflow to BigQuery Data lake Project 3 - Senior Data Engineer (Consultant) ● Design and Implement batch pipelines to sync data from MongoDB to Databricks Delta Tables. ● Built ETL pipeline using Unity Catalog, Workflow, Jobs, Python, and PySpark to read messages from MongoDB and store the transformed message in Delta Tables ● Implement scheduled Jobs to run the batch pipeline every 12 hours. ● Other Technology Used: Spring boot, Java 8, Python, Git, Maven, Github, IntelliJ, Eclipse, JUnit, Google Cloud Platform. Project 4 - Senior Data Engineer (Consultant) ● Project 01: Design and Implement batch and streaming Big Data transformation pipelines using GCP Services. ● Built and maintained batch pipelines using Dataflow, Pub/Sub, Storage bucket, Composer ● Built and maintained real-time pipelines using GKE, Kubernetes, Compute Engine, Container Registry ● Used Firestore, MemoryStore, and Redis to store intermediate data ● Implement RESTful applications using Spring boot ● Built user-facing application using Spring MVC ● Other Technology Used: Spring boot, Java 8, Mockito, ELK, Tomcat, Git, Maven, GitHub, Bitbucket, IntelliJ, Eclipse, JUnit, Google Cloud Platform, Cloud SQL, Jenkins. Project 5 - Senior Cloud Engineer (Consultant) ● Credit Card Customer Analyzer ● Built ETL pipeline using Spark, and Python to read messages from Credit history and generate insights on potential customers based on their card usage ● Implement RESTful applications using Spring Boot ● Other Technology Used: Spring boot, Java 8, Python, Git, Maven, Github, IntelliJ, Eclipse, JUnit, Google Cloud Platform.

🤖 I design and deploy production-grade AI agents and Workflows — not quick hacks. I do not use low/no-code tools like n8n, Zapier, or Make. Every solution I deliver is fully engineered, enterprise-grade, cloud-deployed, and optimized for speed, efficiency, reliability, and maximum ROI. As a AI Data Engineer and Systems Development Manager, I build intelligent workers and adaptive workflows that organize, act, and react to keep your business running faster, leaner, and more reliably. ⸻ Experience: • Generative AI & Agent Development since 2022 • Expert in Google AI frameworks: GenKit, ADK, Gemini CLI, Google AI Studio (UI prototyping) • Specialized in RAG (Retrieval-Augmented Generation), context engineering, and long-context management for high-accuracy, enterprise-scale AI solutions • 5 years of Google Workspace automation experience (Apps Script, Web Apps, APIs) • Deep cloud engineering background: Google Cloud Platform (GCP) and Amazon Web Services (AWS) ⸻ What Makes Me Stand Out 🤖 AI Agent Development & Orchestration – I build autonomous AI agents capable of multi-step reasoning, API execution, and adaptive decision-making. 📚 RAG & Context Engineering Expertise – I implement retrieval-augmented generation, vector search pipelines, and long-context management to ensure AI systems are accurate, relevant, and reliable at scale. 🔗 Seamless Cloud & API Integration – I connect AI workflows to your existing systems using robust cloud deployments (GCP, AWS, hybrid). 🧠 Google GenAI Framework Expertise – Skilled in GenKit, ADK, Gemini CLI, and UI prototyping in Google AI Studio. 📦 Enterprise Engineering – I write production-grade, high-performance code—no shortcuts, no brittle workflows. ⚡ Proven Business Impact – Clients see measurable gains in speed, accuracy, and scalability. ⸻ Client Feedback 🌟 “Luis recently completed a project for us on Upwork. His exceptional performance and dedication truly exceeded our expectations. He took the time to understand our needs, delivered ahead of schedule, and went above and beyond with innovative suggestions that added real value.” – Tifany, Solar Engineer, SOLINK ⸻ Why Choose Me? • 🚀 Rapid Prototyping to Production – From concept to working AI agent fast. • 📢 Clear Communication – I make complex AI concepts easy for stakeholders to understand. • 🏁 End-to-End Ownership – Strategy, data pipelines, RAG implementation, model integration, and deployment. • 🌐 Future-Ready Design – Modular, scalable, and built to evolve. • 🏢 Enterprise Standards – Cloud-native engineering, no low/no-code tools, high-performance deployment. ⸻ Expertise Areas • Custom AI Agents with Google GenKit, ADK, Gemini CLI • Retrieval-Augmented Generation (RAG) Pipelines & Vector Databases • Long-Context Management & Context Engineering for Enterprise AI • Autonomous Workflow Orchestration (GCP, AWS, Hybrid) • Generative UI Prototyping with Google AI Studio • Agentic Reporting, Monitoring, and Auditability • API Integration for Intelligent Decision-Making • Google Workspace Automations & Advanced Apps Script Solutions ⸻ Your Success, My Mission I help organizations move beyond static automation into truly intelligent, adaptive AI systems. Every project is engineered for speed, reliability, and ROI—without the limitations of low-code tools. Let’s build digital workers that think, act, and scale with your team.

AWS Certified Solutions Architect Over 15+ years of experience in architecting enterprise level features from scratch to customer in multiple successful startups. Apart from coding skills, I can provide help bringing your idea to real life. Please check my portfolio (apart from working in successful saas startups, I have now my own saas website which has more than 200+ active users everyday.) I am also experienced and working on my own algo trading platform. Vibe coded multiple production-ready apps (Complete coding by CoPilot for Backend and Frontend). Skills. Expertise in designing cloud application architecture for GCP, Azure and AWS. Python is my favorite language and have done many projects for parsing, scrapping, REST API servers, data massaging, moving data between firestore projects and reconciliation of hundreds of GB of log data, reconciliation of XLS files. Google Apps Script automation : - Send emails from Google sheet - Google Sheet calculations and updation (Statistics, Charts, Financials) - Create client docs in PDF from doc templates by inserting placeholders - Send emails - Automate sending messages to Telegram, Whatsapp, LinkedIn Posting. - Any external API calling. - Create full workflow system with Google sheet, Google App script, Google Cloud Functions, UI pages. Python Automation / Scripts /: - Any data from any format (CSV, Json, Google Sheet, XLS) - Transform, Clean and Filter data - Forwarding to telegram, whatsapp or any other way - Any automation with data that has access to API. New Saas Deployment stack which I use : My stack is most of time Python Flask Backend + React/NextJS UI. I will design UI and required API with auth (Firebase is my expertise) and can then deploy in GCP/Azure/Aws as required. Backend : Python/Flask server in a VM in any cloud, Data analysis: Python/panda UI: NextJS/Shadcdn, UI deployment: AWS S3 and Cloudfront preferred. Marketing Analytics help: If you need customer data analytics in Backend, I use Python Celery+Redis+Firebase to store data and ReactJS for display. Email marketing: If you need to setup drip marketing automation, I can help with complete setup in Brevo. Also, For New customer onboarding, I can help you with adding any new user in Brevo database without exporting or importing user DB. We can do this with any CRM which provides API access. Documentation/Blog/Content marketing: Check my website learn.essaychecker.ai; i have a complete blog/documentation setup done using Docusauras and can help you with the same setup; it provides awesome features using markdown. I also provide content marketing using my team, which can write blog content for you. You need to provide the topic; we will write blog/article content with 200 to 2000 words.