Cloud & AI Solutions Architect

Fernando

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So~ut1on1s-focused profe.ss.1ona~,~f 12 . . yea.rs of e·xpenence ac oss soft . •aire de·velopment and c.lou technologi;es, incl.ud·ng: • + years ·specia~i.zing in clo,u . and :so~ution arcihi ·ec u1re. eep, ex e. • ise i, AWS wrth extensiv t, ands ... on know~1edge of 1GCP and Azure.

: roven • r ck rec-o rd, eUv . -ing, · . I-enabled mod erniz tion, enterp ise integrations cha bo-ts,r

• ·.orkf:low auto,mat·on1, and secu . scalab e c oud platfor1ms. Skillied at tra slati'ng business • . eds in o modern arc L itectures auto1ma1:ing,deHvery pi:p el mes a.nd lead ng t1echn icall tea·ms, to ., elfiive1r re'Ua ble,, 1 ~h-i m pa ct solutions. 0 CLOUD PLAJPO · S

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1 t·l) I Fernando Quetzalcoatl I Solutions Engineer I Cloud & Al Solutions Architect

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Professional Experience

QTS Data Center

Solutions Architect

li1!I 2023 - Present

Leading cloud architecture, modernization, and Al-enabled workflow transformation for enterprise data center and hybrid cloud environments.

• Led hybrid-cloud modemization initiatives connecting enterprise server fleets to AWS for secure, scalable architectures.

• Drove migrations from EC2 to ECS Fargate using Terraform and AWS CDK with reusable multi-environment deployment patterns.

• Strengthened edge and API security with CloudFront, WAF, Cognito/OIDC, and rate-limiting controls.

• Built observability and operational automation with CloudWatch, EventBridge, and SNS.

• Designed Al-assisted workflow modernization for procedures previously handled in Excel and PDF files, using Al extraction and structuring pipelines to convert content into database-ready information and knowledge-assist experiences. 1? Travel port

Cloud Architect

!10 2021 - 2023

Backend integration and cloud data-platform engineering for a large travel search and booking ecosystem.

• Led backend integration and data management for a high-volume travel search platform serving airline and booking workflows.

• Standardized data mapping and service integration using Java, Spring Boot, and GraphQL.

• Designed microservices and APls enabling reliable communication between front-end and back-end systems.

• Improved platform performance and resilience with AWS services such as ElastiCache and RDS.

• Supported quality and delivery through JUnit, Postman, and structured engineering practices.

TORNEOWORLO w

TorneoWorld

Solutions Architect

1i!:J 2020 - 2021

Architecture and product-platform design for a scalable esports tournament and community ecosystem.

• Architected a scalable platform for esports tournament eperations, community features, and secure digital workflows.

• Designed a microservices-based AWS architecture for high availability, scalability, and low-latency user interaction.

• Implemented Cl/CD automation and deployment patterns that improved delivery consistency.

• Built a real-time Al-powered chatbot connected to client databases and APls through tools and integrations, enabling up-to-date answers about orders, products, and operational data.

• Applied Al to organize reports and evaluate tournament evidence by extracting relevant information and matching it with users and tournament context. TECH STACK

aws __., AWS @

0 ECS Fargate ~

Terraform €fl

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l@ Cloud Front

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TECH STACK

.= ;<I- .. Java ••• ...

e') Spring Boot ..

0 GraphQL $

e REST APls J Unit

.-aws .• . .•• .., AWS ElastiCache 0 \8

TECH STACK

aws -· AWS {}

@, Microservices 8

A Lambda @

.~ ... RDS @

= e DynamoDB 0

~ GitHub Actions

Page 2 of 4

Cognito / OIDC

Event Bridge

SNS

CloudWatch

Bedrock

APls

- --

RDS

Docker

Kubernetes

JUnit

Postman

GitHub Actions

APls

Chatbot

OpenAI API

Realtime Data

Workflow

Automation

Professional Experience

• . . .• • • .• . . • • • • . • •,. • • . . . • Thomson Reuters

Cloud Engineer

rn 201s - 2020

Cloud migration and engineering for modernized application platforms.

• Contributed to migration from Azure to AWS while supporting developrnent and maintenance of cloud services.

• Designed and deployed microservices on AWS ECS with Redis caching for improved performance.

• Coordinated cross-service orchestration using AWS Step Functions and Amazon SQS.

• Supported secure architecture patterns using AWS KMS and infrastructure automation with CloudFormation.

• Contributed to database migration and resilient cloud platform operations. CentroTenoch

Software Architect

(l!i 2016 - 2018

Full-stack modernization and commerce-platform architecture for a growing digital business.

• Led platform modernization from legacy PHP implementations toward a more structured Symfony and AWS-based architecture.

• Built core commerce capabilities including shopping-cart flows, store administration, and customer-facing features.

• Drove code and database migration efforts while improving maintainability, delivery practices, and platform structure.

• Integrated APls and business features such as user verification, ERP-related workflows, and operational tools.

• Delivered responsive full-stack experiences aligned with business growth and product evolution.

-HP, .. Hi per Plaza

Front-End Developer

(l!i 2014 - 2016

Front-end development for e-commerce, customer management, and interactive bvsiness views.

• Developed responsive front-end views for commerce, customer-service, and administrative workflows.

• Implemented forms, marketing views, graphs, and product-display experiences with a focus on usability.

• Collaborated in structured team environments using design-oriented workflows and light backend integration.

• Helped build user-friendly interfaces for sales continuity, product presentation, and administration.

• Contributed to polished web experiences that balanced clarity, responsiveness, and business needs.

TECH STACK

-aws - AWS

0 ECS

• Redis

V d'-, Step Functions

(@ SQS

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fo KMS

~ CloudFormation

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CO DevOps

TECH STACK

0 Symfony ® Webpack

@ PHP .. Docker

.aws ._.,, AWS ~ Git/ Gitlab

B REST APls ~ PHPUnit

I SQL/ORM ti Selenium

TECH STACK

~ React,, Spring

m Bootstrap ~ UI/UX

~ jQuery @ "" Jasmine

0 Git/ GitHub • PantomJS

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Java e Web Front-End

,, Tums product vision into secure, scalable platforms with pragmatic engineering and cloud execution.

AI Solutions & Innovation

-. f· ', SELECTED Al SOLUTION HIGHLIGHTS

0 -o Procedure AI-Enabled

Modernization

Q QTS Data Center

Built Al-assisted workflows to modernize

operational procedures that previously lived in

Excel files and PDFs and were filled manually.

Used Al extraction and structuring pipelines to

convert procedure information into structured,

database-ready records and make operational

knowledge easier to search and use.

~I~ Amazon Bedrock @ OpenAIAPI

fl Document Extraction

® Worl<flow Automation

II Structured Data = SQL/RDS

&1 PERSONAL Al & ML PROJECTS

C Pacman AI Player

Built an Al player for Pacman using genetic

algorithms and reinforcement learning

concepts to evolve strategies and improve

game performance over many generations.

,:I Python 1~ TensorFlow

~~ SageMaker aws _, AWS

@j Al ARCHITECTURE FOCUS

IJII Chatbots & * LLM

Assistants Integrations

Conversational Al that Secure, enterprise-

connects users to ready LLM and

data and actions agent integrations

Real-Time

Business

Assistant

Q TorneoWorld I Client Work

Created a real-time chatbot connected to live

databases and APls through tools and

integrations, allowing users to ask for current

information about orders, products, and

operational data.

Also supported Al-driven report organization

and operational visibility.

0 Chatbots ~ Tool Calling

</> APls :e. z Database Integration

@ OpenAIAPI

0 Real-Time Data

00 Workflow J .'\ Data

Automation ~ Extraction

End-to-end automation Extract, structure, and

with human-in-the-loop enrich data from any

and tool orchestration source or format

' ' Applies Al pragmatically to automate workflows, 0 w Review Al Evidence for

Esports

Q TorneoWorld

Applied Al to evaluate tournament evidence,

extract relevant information, match it against

users and tournament context, and support

more efficient decision-making for

tournament operations.

,,,

·O Al Review

0 Information Extraction

~~ Entity Matching

® Workflow Automation

8 Decision Support

Q Enterprise 0 Secure Cloud

APls Delivery

Integrate systems. Build and deliver

expose capabilities, Al solutions with

and enable scale security by design

surface knowledge, and improve real-world decisions.

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