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As a seasoned Google Cloud architect and AI/ML specialist with over two decades of experience, I design and implement cutting-edge cloud-native solutions that drive business transformation. My expertise spans the entire Google Cloud ecosystem, from foundational infrastructure to advanced AI capabilities. Core Technical Expertise: AI/ML Platform Mastery: Vertex AI, AutoML, BigQuery ML, and custom model deployment pipelines Cloud Architecture: Compute Engine, GKE, Anthos, Cloud Run, and serverless architectures Data & Analytics: BigQuery, Dataflow, Pub/Sub, and real-time streaming solutions DevOps Excellence: Cloud Build, Terraform, GitOps, and automated CI/CD pipelines AI/ML Specialization: I leverage cutting-edge technologies including OpenAI APIs, LLaMA models, vector databases, and LangChain to build intelligent applications. My experience encompasses chatbot development, RAG systems, LlamaIndex implementations, and enterprise-grade AI solutions that scale. Value Proposition: I don't just implement technology—I architect solutions that align with your business objectives. My approach combines deep technical expertise with strategic thinking, ensuring your cloud infrastructure is not only robust and scalable but also cost-optimized and future-ready. Based in Vancouver, Canada, I'm committed to delivering exceptional results and building lasting partnerships that drive your organization's success in the cloud-first, AI-driven future.

🤖 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.

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.

Most data projects fail not because the code is bad, but because the "human element" was ignored. I’ve spent the last 10+ years working with major companies, and I’ve seen firsthand how high-speed engineering means nothing if the end-users can't trust the numbers. I treat data as a product. When it’s clean and well-managed, it’s an invaluable asset. When it isn't, it’s a liability that quietly eats away at your performance and ROI. How I work: Right-Sized Tech: I won't sell you a massive cloud infrastructure if a leaner solution fits better. Whether we’re using Snowflake, Databricks, or a custom Python-based build, the business case dictates the tool, not the other way around. Every problem can be solved with a hammer, but I’d rather ensure we aren't overspending on a tool that doesn't fit the job. Human-Centric: I build for the people who will actually use the dashboards and reports. Product Mindset: We focus on the "why" behind the data to ensure every pipeline I build adds to your bottom line. My Core Tech Stack: I specialize in building robust, scalable architectures using the modern data stack: Languages: Python (Pandas, PySpark, custom ETL scripts). Transformation & Orchestration: Apache Beam, dbt, Airflow. Cloud Infrastructure: Google Cloud Platform (GCP), Terraform (IaC). Warehousing & Analytics: BigQuery, Snowflake, Databricks. Whether you need a full-scale cloud migration, a complex streaming pipeline in Beam, or a more efficient way to manage your current stack, I’m here to ensure you get a tool that works—not just a bill for expensive software you don't need.

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.