Hi, my name is

Dominic
Tigreros-Bosini.

I architect solutions & build games.

I'm an 18-year-old Solution Architect Degree Apprentice at Amazon and an indie developer. I help bring the world's biggest streaming apps to the living room.

Stack
01.

About Me

When you open YouTube, Netflix, or BBC on your Fire TV, it needs to work flawlessly. As a Solution Architect at Amazon Devices & Appstore, I am the technical bridge ensuring that happens.

My value isn't just in managing relationships; it's in understanding the code behind them. Because I have a background in engineering, I can dig deep into the architecture of an app, identify bottlenecks, and speak the same language as the developers building the next generation of TV apps.

My curiosity doesn't stop at 5 PM. I am a builder. I spend my free time developing my own games and applications. This side of me, the one that loves solving logic puzzles and shipping code, directly informs how I advise my partners.

Dominic Tigreros-Bosini

Lvl 18 Developer
Class Architect
Build Gym Rat
Fuel Caffeine
Level (Age) 18

"Build first, Google second."

Firebase Godot Engine Vercel Firebase Godot Engine Vercel
02.

Technical Arsenal

The tools and technologies I use to build scalable solutions.

Cloud Architecture

I architect serverless environments that maximize performance while minimizing maintenance and cost.

AWS
Certified Solutions Architect
Linux / Bash
Server Management
Firebase
Realtime DB & Auth

Modern Web

Building responsive, high-performance web applications with a focus on component reusability and state management.

React
Frontend Framework
JavaScript
Core Logic
Python
Backend & Scripting

Game Engineering

I turn simple concepts into addictive experiences. I prioritize game feel and user experience to ensure every mechanic feels satisfying and fresh.

Godot
GDScript
Game Logic
State Machines
Vanilla JS Engines
Custom Physics

DevOps & Tools

From localhost to production in seconds, ensuring smooth deployments through modern CI/CD practices.

Git & GitHub
Version Control
Vercel
Deployment
Terminal
Bash / Zsh
03.

Where I've Worked

Sep 2025 - Present

Solution Architect Degree Apprentice

Amazon

The technical bridge between Amazon’s engineering teams and the world’s largest media partners.

  • Spearheaded partner readiness for the global launch of Fire TV Stick 4K Select and Vega OS.
  • Lead technical owner for In-App Purchasing (IAP) across the Spanish market.
  • Guided engineering teams in migrating legacy codebases to React Native and KeplerScript.
  • Serve as escalation point for debugging complex partner implementations.
2024

Software Engineer Intern

Willis Towers Watson

Gained exposure to corporate software engineering and big data modeling.

  • Shadowed DevOps engineers to understand CI/CD and scalability.
  • Collaborated with data scientists on stochastic modeling for risk management.
2024

Project Lead (Web Dev)

Doctor's Clinic

Led the design and development of a private clinic's digital presence.

  • Gathered requirements and translated client needs into technical specs.
  • Managed agile sprints and client feedback loops.
04.

What I've Built

A selection of projects that bridge the gap between complex backend architecture and immersive user experiences.

Game Development

Tile Sprint

A 2D reflex-based arcade game built from scratch without a game engine. I wanted to understand the fundamentals of game loops, so I built the engine in Vanilla JS.

Features a persistent virtual economy, global leaderboards via Firestore, and Google Auth integration.

Vanilla JS Firebase HTML5
60 FPS
Enterprise Architecture

Partner Integration

Ensuring top-tier media apps work flawlessly on millions of Fire TV devices. Partnered with giants like RTVE and Movistar+ to integrate their apps into the Amazon ecosystem.

Focused on architectural reviews, identifying bottlenecks in legacy code, and ensuring Day 1 readiness for new OS launches.

React Native AWS Fire OS
<App /> mounted
AI & Machine Learning

Emotion Detector

AI-driven web application capable of analyzing text for emotional tone. Developed as part of the IBM Software Engineering specialization.

Deployed via Flask, utilized static code analysis, and implemented a complete CI/CD pipeline concept for automated testing.

Python Flask Watson NLP
Joy: 98%
Anger: 2%
05. What's Next?

Get In Touch

Whether you have a question about Amazon Fire TV architecture, want to challenge me to a game of Tile Sprint, or just want to connect—my inbox is always open.