Andrey Quesada

About Me

I am a Software Engineer with 6+ years of experience at Intel, specializing in automation frameworks, validation systems, and large-scale data pipelines for server products. My work included applying AI agents and LLMs to accelerate test creation and validation automation, integrating outputs into production workflows. I have led technical teams, owned repositories, and delivered measurable impact in cost savings and efficiency.

Key impact at Intel

2× reduction in critical validation timelines
30% reduction in test execution time, saving hundreds of thousands USD
3× faster data analysis through automated pipelines
Applied AI agents and LLMs to accelerate test creation and validation automation, integrating outputs into production workflows

Recent Experience (2025-2026):

Completed an intensive Full-Stack Software Engineering program (Lifter), building production-quality applications from scratch. Backend and full-stack systems in my portfolio were developed post-Intel during the Lifter program and personal projects.

CaterPro: Full-stack platform with Flask, PostgreSQL, Redis, JWT auth. 60 endpoints, 85% test coverage. Layered architecture with role-based access control.
Pet E-Commerce API: RESTful backend with 42 endpoints and 78% test coverage. Multi-layer validation, JWT authentication, comprehensive sales workflows.
Multi-Agent Web System: AI-powered workflow using CrewAI and LLM orchestration. 6 specialized agents for automated project generation and documentation.
Frontend Applications: Modular JavaScript architectures, responsive design, MVC patterns.

What I Bring

Full-Stack Development: End-to-end ownership from frontend (JavaScript, HTML/CSS, Vite) to backend (Flask, PostgreSQL, Redis). Layered architecture, JWT auth, comprehensive testing.
AI Workflows: Multi-agent systems (CrewAI), LLM orchestration, prompt engineering, automated code generation. Practical AI integration that produces artifacts consumed by production scripts and pipelines.
Production Engineering Mindset: Security, reliability, and test-driven practices informed by Intel production environments.
Leadership: Led teams of 3–4 engineers at Intel, drove architecture reviews, and resolved cross-geo critical issues.

Featured Projects

CaterPro

Flask • PostgreSQL • Redis • JavaScript

Full-stack catering platform with 60 endpoints and 85% test coverage. Production-grade layered architecture.

Demonstrates: Layered architecture, JWT auth, caching strategies, role-based access control, comprehensive testing.

Pet E-Commerce API

Flask • PostgreSQL • JWT • Marshmallow

RESTful backend with 42 endpoints and 78% test coverage. Multi-layer validation and comprehensive sales workflows.

Demonstrates: REST principles, authentication, data validation at multiple layers, testing patterns.

Multi-Agent Web System

Python • CrewAI • LLMs • Automation

AI-powered project generation with 6 specialized agents (PM, BA, Backend/Frontend Dev, QA, DevOps). Applies practical AI workflows to accelerate development tasks.

Demonstrates: Agent orchestration, prompt engineering, LLM workflows, automated code and documentation generation.

Todo List App

JavaScript • Vanilla JS • Vite • CSS3

Modular task management with clean MVC architecture, component-based design, and responsive UI.

Demonstrates: Frontend architecture, separation of concerns, modular patterns, UI/UX design.

Software Engineering Lab

Python • SQL • Data Structures • Testing

Curated exercises: data structures, algorithms, SQL, and a complete Finance Tracker GUI application.

Demonstrates: Computer science fundamentals, production-quality patterns, comprehensive testing.