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Senior Full-Stack Developer at Teravision Technologies/Colombia · --:-- UTC−5

Edwar Díaz RuizAI systems, cloud platforms, and product engineering.

I design and ship production AI systems and cloud-native products — from evaluated LLM workflows and intelligent document processing to event-driven backends that stay observable, secure, and cost-aware.

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Portrait of Edwar Díaz Ruiz
Bogotá, ColombiaAI · Cloud · Product Engineering
Focus
Serverless, event-driven and AI-assisted systems
Cloud & DevOps
AWS · Azure · GCP · Docker · Kubernetes · Serverless
Languages & frameworks
React · Next.js · Angular · TypeScript · Golang · Node.js · Python · GraphQL
Certifications
  • AWS Certified Cloud Practitioner
  • AWS Certified Solutions Architect – Associate
Ambassador programs
  • Devin Ambassador by Cognition AIDevin Ambassador by Cognition AI

git log --graph

Work experience

6 roles since 2018 — from university teams to leading cloud architecture for clients in production.

  1. HEADJan 2023 — Presentpromoted

    Senior Full-Stack Developer

    Teravision Technologies

    Building production AI platforms and cloud-native systems across Azure and AWS, with a focus on evaluation, automation, observability, and reliable delivery.

    • +Built a centralized AI enablement platform with .NET services, React, RabbitMQ workers, token-rate coordination, workflow orchestration, and step-level observability.
    • +Created evaluation datasets and measurable LLM workflows, improving reliability while tracking cost, tokens, latency, and failures per document.
    • +Designed an Azure document-processing platform for approximately 600 emails and 1,200+ operational documents per day using Logic Apps, Functions, queues, Document Intelligence, and Azure OpenAI.
    • +Automated engineering workflows with GitHub Actions, Copilot custom agents, MCP, issue triage, release documentation, and agent-based Playwright testing.
    • +Led security and architecture assessment of a legacy .NET microservices platform using SonarQube, OWASP ZAP, and manual review.
    • +Defined multi-environment infrastructure with Bicep, Docker, GitHub Actions, Key Vault, Application Insights, and KQL.
  2. Feb 2021 — Jan 2023· 2 yrs

    Intermediate Full-Stack Developer

    Teravision Technologies

    Contributed to backend, frontend, and database development while integrating cloud services in AWS and GCP.

    • +Developed end-to-end solutions covering backend, frontend, and databases.
    • +Built and maintained scalable APIs and microservices.
    • +Integrated apps with AWS, GCP, and third-party services.
    • +Wrote unit tests to ensure backend quality and maintainability.
  3. Sep 2020 — Feb 2021· 6 mos

    Development Team Leader

    Universidad Distrital FJC

    Led a team of developers in building a financial system while mentoring engineers and overseeing technical delivery.

    • +Directed planning, code reviews, and production deployments.
    • +Trained developers in Golang, Docker, NestJS, MongoDB, Angular.
  4. May 2020 — Jul 2020· 3 mos

    Full-Stack Developer & DB Manager

    CaserolAPP (Freelance)

    Developed backend and database design for a food delivery startup.

    • +Designed database models and implemented CRUD operations in Golang.
    • +Built backend with NestJS and implemented advanced frontend features.
    • +Set up CI/CD pipelines with Drone.io.
  5. May 2019 — Feb 2020· 10 mos

    Technical Leader / Developer

    Universidad Distrital FJC

    Led and developed full-stack solutions while mentoring junior developers.

    • +Delivered solutions with Angular, Golang, AWS, Postgres, and MongoDB.
  6. Nov 2018 — Mar 2019· 5 mos

    Web Developer

    Plan Es Tic-UD

    Contributed to frontend and backend development in a university digitalization project.

    • +Built DB schemas and REST APIs using Beego (Golang).
    • +Developed client-facing views with Angular 6.

6 engagements · under NDA

Client work

Production systems I've designed and delivered. Client names stay confidential — the architecture and the trade-offs don't have to.

  • AI / Cloud

    Serverless AI Document Processing

    Azure serverless platform that orchestrates document processing with Logic Apps and Functions, storage, and AI.

    • Modular workflows with Logic Apps as the orchestrator.
    • Optimized prompts to lower token usage and cost.
    • End-to-end observability and per-document traceability.

    Stack

    • Azure Logic Apps
    • Azure Functions
    • Azure Durable Functions
    • Azure Blob Storage
    • Azure Table Storage
    • Azure Queue Storage
    • Azure OpenAI (AI Foundry)
    • Event Catalog
    • Application Insights
  • Security / Audit

    Legacy Microservices Audit

    Security and architecture audit of a legacy .NET microservices system.

    • Identified critical vulnerabilities and outdated dependencies.
    • Mapped inter-service dependencies and architecture.
    • Provided modernization recommendations.

    Stack

    • SonarQube
    • OWASP ZAP
    • Docker
    • Azure DevOps
  • Serverless / Microservices

    Social Automation Platform (Microservices + Serverless)

    Hybrid microservices and serverless system to automate social network workflows with IaC.

    • Designed serverless architecture and service interactions.
    • Automated multi-social workflows with event-driven components.
    • Cost optimization with Intelligent-Tiering and lifecycle policies.

    Stack

    • AWS SAM
    • AWS Lambda
    • Amazon API Gateway
    • Amazon S3
    • AWS CloudFormation
    • S3 Intelligent-Tiering
    • S3 Lifecycles
    • Python
  • AI Platform

    AI Enablement & Evaluation Platform

    Internal AI platform for orchestrating LLM workflows, evaluating outputs, and operating document-based workloads reliably.

    • Built reusable services, workers, and workflow components for AI delivery teams.
    • Introduced evaluation datasets and tracked quality, tokens, latency, cost, and failures.
    • Added step-level observability to make production AI behavior measurable.

    Stack

    • .NET
    • React
    • RabbitMQ
    • LLM Evaluation
    • Workflow Orchestration
    • Observability
  • Developer Experience

    Engineering Automation & AI Developer Workflows

    Developer productivity workflows that combine GitHub Actions, Copilot custom agents, MCP, and automated browser testing.

    • Automated issue triage, release documentation, and recurring engineering tasks.
    • Used agent-based Playwright testing to validate critical user flows.
    • Connected developer workflows without compromising reviewability or delivery standards.

    Stack

    • GitHub Actions
    • Copilot Custom Agents
    • MCP
    • Playwright
    • Release Automation
  • Cloud / DevOps

    Cloud Infrastructure & Observability Foundations

    Multi-environment cloud foundations for secure delivery, deployment automation, and operational visibility.

    • Defined repeatable infrastructure across environments with infrastructure as code.
    • Standardized secrets, deployment pipelines, logs, metrics, and operational queries.
    • Balanced reliability, security, and cost in production cloud systems.

    Stack

    • Azure Bicep
    • Docker
    • GitHub Actions
    • Key Vault
    • Application Insights
    • KQL

7 open-source builds

Side projects

Tools I wanted to exist, so I built them — browser extensions, npm packages and small web apps, all open source.

All projectsGitHub
  • DevMentorAI screenshot

    DevMentorAI

    DevMentorAI source code on GitHublive: open DevMentorAI demo

    Chrome extension for DevOps mentoring powered by GitHub Copilot.

    • TypeScript
    • React
    • WXT
    • Node.js
    • +3
  • TokenBudget - LLM Token Calculator screenshot

    TokenBudget - LLM Token Calculator

    TokenBudget - LLM Token Calculator source code on GitHublive: open TokenBudget - LLM Token Calculator demo

    Token counter and cost calculator for LLM APIs.

    • Next.js
    • TypeScript
    • Tailwind CSS
    • shadcn/ui
    • +1
  • EventMaple screenshot

    EventMaple

    EventMaple source code on GitHublive: open EventMaple demo

    Open-source event management platform for communities of any kind.

    • Next.js 16
    • TypeScript
    • Tailwind CSS
    • Supabase
    • +3
  • Quill Resize Module screenshot

    Quill Resize Module

    Quill Resize Module source code on GitHublive: open Quill Resize Module demo

    TypeScript-native Quill editor module for resizing images, videos, and iframes.

    • TypeScript
    • Quill.js
    • Rollup
    • Less / CSS
    • +1

More experiments

  • Conventional Commit Generator screenshot

    Conventional Commit Generator

    Form-based generator that builds perfectly formatted Conventional Commit messages.

    live: open Conventional Commit Generator demosource: Conventional Commit Generator on GitHub
  • Inmersion UD screenshot

    Inmersion UD

    Photorealistic 3D reconstruction of a university building in Unreal Engine 4/5 with guided tours.

    live: open Inmersion UD demosource: Inmersion UD on GitHub
  • English Dictionary screenshot

    English Dictionary

    Dual-mode English dictionary covering academic definitions and Urban Dictionary slang.

    live: open English Dictionary demosource: English Dictionary on GitHub

2 certifications · 12 courses

Certifications & learning

Cloud certifications, an ambassador program and the courses I take to stay current on AI, Azure and DevOps.

Certifications02

  • AWS Certified Solutions Architect – Associate badge

    AWS Certified Solutions Architect – Associate

    Amazon Web Services (AWS)

    Valid Jun 2025 — Jun 2028

    verify on credly.com
  • AWS Certified Cloud Practitioner badge

    AWS Certified Cloud Practitioner

    Amazon Web Services (AWS)

    Valid Dec 2022 — Dec 2028

    verify on credly.com

Ambassador programs01

  • Devin Ambassador badgeDevin Ambassador badgeVisit Cognition AI

    Devin Ambassador

    affiliation

    Cognition AI · since 2026

    Official Devin Ambassador recognized by Cognition AI for contributions to the AI-assisted software engineering community. Devin is the world's first fully autonomous AI software engineer.

Education

  • B.Sc. in Systems Engineering

    2014 – 2023

    Universidad Distrital Francisco José de Caldas · Bogotá, Colombia

    Bachelor's degree in Systems Engineering with focus on software development, system architecture, and project management.

Courses & training12

Completed courses, newest first
YearCoursePlatformTopic
2025MCP with Microsoft AzurePlatziPlatziAI / Cloud / MCP
2025RAG with Microsoft AzurePlatziPlatziAI / Cloud / RAG
2025Microsoft Certified: Azure Developer Associate (AZ-204): Monitor, Troubleshoot, and Optimize Azure SolutionsPluralsightPluralsightCloud
2025Effective Cost Management for Generative AIPluralsightPluralsightCloud / AI
2025Prompt Engineering CoursePlatziPlatziAI
2025Microsoft Azure Developer: Implementing Table StoragePluralsightPluralsightCloud
2022Advanced Git 2 TechniquesPluralsightPluralsightTools
2022Mastering GitPluralsightPluralsightTools
2021Learn to Program with GoUdemyUdemyProgramming
2021Software Testing with Postman & API TestingUdemyUdemyTesting
2021Angular: From Zero to ExpertUdemyUdemyFrontend
2020Learn Docker from Zero to Swarm and KubernetesUdemyUdemyDevOps
all certificates

FAQ

Frequently asked questions

The things recruiters and clients usually ask on the first call.

What technologies do you specialize in?

I specialize in modern web technologies including React, Next.js, TypeScript, Node.js, and Go. For cloud and DevOps, I work extensively with AWS (Lambda, SAM, Bedrock), Azure (Functions, Logic Apps, OpenAI), Docker, and Kubernetes. I'm also experienced in AI integration, prompt engineering, and RAG systems.

What cloud platforms do you work with?

I have extensive experience with AWS (certified Solutions Architect and Cloud Practitioner), Microsoft Azure, and Google Cloud Platform. My expertise includes serverless architectures, containerization, Infrastructure as Code, and cost optimization across all three major cloud providers.

Do you have experience with AI and LLM integration?

Absolutely. I have hands-on experience with prompt engineering, building RAG (Retrieval-Augmented Generation) systems, implementing MCP (Model Context Protocol), and integrating LLMs from OpenAI, Anthropic, and Azure OpenAI Service. I also specialize in AI cost optimization and observability.

What is your approach to DevOps and automation?

I believe in infrastructure as code, automated CI/CD pipelines, and comprehensive observability. I use tools like AWS SAM, CloudFormation, Docker, Kubernetes, and GitHub Actions to create reproducible, scalable infrastructure. I also implement monitoring with Application Insights, CloudWatch, and custom KQL queries.

Can you help with code audits and security reviews?

Yes, I perform comprehensive code audits using SonarQube for code quality and OWASP ZAP for security vulnerability assessment. I can identify critical vulnerabilities, outdated dependencies, and provide modernization recommendations for legacy systems.

Replies within 24 hours

Contact

Have a system that needs to scale — or a cloud bill that needs to shrink? Tell me what you're building and where it hurts.

Email

edwardiaz.dev@gmail.com
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  • XShort thoughts@SRBOTOM
  • HashnodeLong-form articlesbotoom.hashnode.dev
  • Dev.toArticles & notesbotoom
  • TikTokDev tips in 60s@edwardiazdev

What you can expect

  • +Full stack development and DevOps expertise
  • +Focus on scalable and maintainable solutions
  • +Clear communication and timely deliveries
  • +Passion for emerging technologies

Send a message

A few lines about the project, the stack and the timeline is plenty.

You'll get a copy by email.

Edwar Díaz Ruiz

Full-stack and DevOps engineer building cloud-native, serverless and AI-driven systems from Colombia.

edwardiaz.dev@gmail.com

Sections

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Elsewhere

  • GitHubBOTOOM
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  • X@SRBOTOM
  • Hashnodebotoom.hashnode.dev
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© 2026 Edwar Díaz Ruiz. Built with Next.js, deployed on Vercel.

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