Professional Experience

Hello 👋, Kevin Barroso 👷

Platform Manager and Solutions Architect with 6+ years of experience in cloud computing, data platforms and AI engineering. I lead Taligent's internal platform — infrastructure, CI/CD and self-service tooling — and design multi-cloud data architectures across AWS, GCP and Azure, including legacy system migrations to production.

Specialist in agentic systems: I design and build AI agent orchestration frameworks, multi-agent systems with MCP, and NLP/OCR pipelines on top of LLMs. I work end-to-end, from Terraform modules and EKS/GKE clusters to full-stack Next.js applications deployed on Cloud Run. University lecturer in AI Engineering and Intelligent Systems, and author of open-source Rust tooling.

Kevin Barroso

Professional Experience

Taligent

November 2022 - Present

Platform Manager

Platform & Cloud

  • Leadership of the internal platform: infrastructure, cloud services, IAM, observability and cost control across the organization
  • Construction and successful execution of the service migration plan from ECS to EKS
  • Kubernetes platform design on GCP with Terraform: private GKE clusters, node pools, namespaces with RBAC/NetworkPolicy/ResourceQuotas, Artifact Registry with vulnerability scanning and External Secrets Operator
  • Modular infrastructure as code on AWS (VPC, ECS, RDS, ElastiCache, Lambda, SQS, S3) with OIDC authentication for GitHub Actions and an auto-deploy system built on Step Functions
  • CI/CD pipelines with GitHub Actions, AWS CodePipeline and Concourse CI

Data & Migrations

  • Production migration of a distribution pipeline from on-premise Informatica PowerCenter to Azure Data Factory, Databricks and Snowflake — 19 processes migrated, go-live July 2026
  • Databricks Center of Excellence: Bronze/Silver/Diamond pipelines with Databricks Asset Bundles and versioned templates per data product
  • Reproducible medallion lakehouse with Apache Airflow, MinIO, DuckDB, dbt and Apache Iceberg
  • Terraform modules for Microsoft Fabric (capacity, workspaces, medallion lakehouses, Spark pools, shortcuts, RBAC) with bidirectional GitOps in dev and declarative deploys to prod via fabric-cicd
  • Data Lakes on AWS with medallion architecture using Glue, S3 and Athena

AI & Agentic Systems

  • Design and development of a vendor-agnostic AI agent orchestration framework in Rust, with a four-layer architecture (Core/Blueprint/Stack/Plugin), spec-first governance and white-label distribution per client via a private Artifact Registry
  • AI agents for intelligent document processing with OpenAI GPT-4o, AWS Textract and LangChain/LangGraph
  • Multi-agent systems with MCP (Model Context Protocol)
  • NLP and OCR pipelines for data extraction from WhatsApp messages and receipts
  • Leadership of the AI adoption program: training, tool evaluation and standards for working with agents

Product & Applications

  • Full-stack internal platforms with Next.js, TypeScript, Prisma and PostgreSQL on GCP Cloud Run + Cloud SQL: headcount/skills/certification management and IT asset lifecycle, with multi-role RBAC and Google Workspace SSO
  • Architecture as code with versioned C4 models (LikeC4) and automated testing with Vitest and Playwright

Freelance

February 2019 - November 2022

Solutions Architect AWS + Developer

  • Design and implementation of robust architectures for web hosting and microservices
  • Implementation of security solutions for containers in ECS
  • Development of advanced monitoring systems with Grafana, Prometheus and Fluentd
  • Development and implementation of orchestration architectures with Apache Airflow in AutoScaling and MWAA
  • Development of microservices and APIs with Python frameworks
  • Building dockerized solutions for monolithic applications and microservices
  • Design and implementation of serverless architectures with AWS Lambda and AWS SAM
  • Infrastructure as code development using Terraform
  • Integration of AWS services for scalable and complex cloud solutions
  • Design and implementation of Data Lakes with medallion architecture (bronze/silver/diamond) using AWS Glue, S3 and Jupyter Notebooks

Teaching

Universidad Tecnológica Nacional - Rosario

January 2024 - Present

Lecturer in AI Engineering and Intelligent Systems

Intensive 33-hour program focused on Agentic AI Engineering, Vibe Engineering and complex systems development, with applications in agroindustry, social welfare and dynamic economies.

  • Design and delivery of the program 'Data Analysis, AI Engineering and Intelligent Systems (Level 1)'
  • Coverage of Modern Python Stack, Machine Learning, NLP, Computer Vision and Agentic Systems (MCP)
  • Teaching MLOps/LLMOps, RAG (Retrieval-Augmented Generation), Vector Databases, model fine-tuning and Cloud Deploy
  • Tech stack: Python 3.12+, Docker, AWS/Google Cloud, Transformers, Streamlit, PostgreSQL

Certifications

AWS Certified Solutions Architect – Associate

Amazon Web Services

October 13, 2028

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