Vitor Degrecci | Software Engineer & AI/Data Solutions Architect

About Me

Software engineer with 13+ years delivering enterprise systems and AI-powered products for Fortune 500 clients and independent products. Currently titled Business Systems Analyst at Amdocs, functioning as a software engineer and AI/data solutions architect.

I work across four connected disciplines: cloud engineering, agentic development, systems integration, and data science and AI. That breadth is practical: I design the architecture, build the integrations, shape the data, and stay close to the product outcome.

Recent work includes agentic systems that automate manual product and rule creation, cloud-ready data pipelines, event-driven services, and full-stack applications. I use AI-assisted development where it improves delivery quality and speed, while keeping systems observable, maintainable, and ready for production.

13+

Years Experience

10+

Agentic Ecosystems Delivered

1k+

Dashboards and Reports Created

500+

Catalog Products and Rules

$8M

Cost Savings

Engineering Expertise

Four connected disciplines I use to take systems from requirements to reliable production software.

Cloud Engineering

Cloud-native architecture, containerized services, Kubernetes, event-driven systems, and reliable delivery across Azure, AWS, and GCP.

Microservices and platform architecture
Kafka, Spark, CI/CD, and observability
Infrastructure designed for repeatable delivery

Agentic Development

Agentic workflows and AI-assisted development that turn business requirements into working products, rules, and repeatable engineering processes.

Agent orchestration, RAG, and prompt design
Human-in-the-loop automation
AI systems measured by cycle time and adoption

Systems Integration

Integration layers that make complex enterprise platforms work together through APIs, streaming, automation, and clear data contracts.

REST APIs, Kafka, and third-party services
Database translation and migration
Quality engineering from contract to release

Data Science & AI

Data architecture, analytics, machine learning, and AI products built on validated pipelines and business-ready data models.

ETL/ELT, data modeling, and data lakes
RAG, vector databases, and NLP
Power BI, Tableau, and decision-ready reporting

Selected Systems & Products

Production-minded systems and products spanning agentic development, data platforms, integrations, and full-stack delivery.

Agentic AI and RAG platform architecture preview

Agentic AI + RAG Platform

Multi-agent delivery pipeline with enterprise knowledge retrieval that can accelerate software delivery cycles by 40%.

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Enterprise Data Pipeline Modernization

Cloud-ready ETL/ELT flows that improved processing efficiency by 60% and cut data errors by 95% across legacy batch systems.

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Automation testing and quality engineering suite preview

Automation & Quality Engineering Suite

Scalable test automation patterns that reduced manual testing effort by 80% and improved release-cycle efficiency by 100% for enterprise systems.

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Pack Art Catalog

Built packart.tech, a React/Vite and Supabase app cataloging Pokémon TCG booster pack wrapper artwork sourced from community forum threads. OAuth login and collection tracking are in progress, making this a full-stack product across frontend engineering, backend data architecture, and third-party integration.

View Pack Art Catalog →

Professional Experience

Business Systems Analyst

Functioning as Software Engineer & AI/Data Solutions Architect Amdocs August 2015 - Present

Partnered with Fortune 500 telecom clients to deliver enterprise catalog products and digital transformation programs. Built live reports and dashboards, architected data pipelines, and led cross-functional teams of 5+ engineers.
Pioneered agentic AI adoption by architecting a Cursor AI-powered environment integrated with Claude Opus, Claude Sonnet, Gemini, and GPT-4 for context-aware code generation and autonomous task execution.
Redesigned delivery workflows for AI-assisted development and upskilled cross-functional teams on prompt engineering, agent orchestration, and LLM selection strategies.
Built an agent for catalog and rule creation that transforms gathered business requirements directly into products and rule workflows, replacing a manual process and cutting time-to-market by weeks.
Modernized ETL pipelines with AI-assisted data validation and anomaly detection, improving processing efficiency by 60% and reducing data errors by 95%.
Led end-to-end AI solution delivery from discovery through rollout, embedding agentic workflows into research, deal execution, compliance, finance, and operational analytics.
Architected scalable web services with Kafka and REST APIs to enable real-time data streaming for AI inference pipelines and GenAI backends across enterprise platforms.
Served as Product Owner for internal agentic AI solutions, managing roadmap and backlog in JIRA while tracking KPIs such as hours saved, cycle-time reduction, and solution adoption.

Founder & Lead Engineer

Cat Leap Labs April 2024 - Present

Founded an independent technology venture building software with Agentic AI, RAG systems, and modern engineering practices.
Building AI-powered applications and reusable libraries for automation and knowledge synthesis, including packart.tech, a full-stack product cataloging collectible artwork (see Showcase).
Applying Generative AI and cloud-native technologies to build scalable solutions for real business use cases.
Website: catleap.me (Currently under maintenance)

Quality Assurance Analyst

Amdocs January 2014 - August 2015

Engineered QA frameworks using Python automation, Selenium, and Jenkins to streamline regression, API, and UAT cycles.
Delivered zero-data-loss migrations and a 100% improvement in order-cycle efficiency through robust validation and release quality controls.
Designed and executed end-to-end test strategies across functional, integration, regression, and UAT phases to ensure alignment between business requirements and software delivery.
Architected and maintained Python-based test automation integrated with Selenium WebDriver and pytest, reducing manual testing effort by over 80%.
Engineered Jenkins CI/CD pipelines for automated test execution, API performance validation, and build verification to accelerate feedback and troubleshooting.

Software Engineer Trainee

Grapeword, Inc. June 2013 - August 2013

Engineered software solutions for the digital advertising platform, delivering core product features that enhanced platform monetization and advertiser engagement.
Architected and developed administrator-facing features using object-oriented PHP, JavaScript, MongoDB NoSQL databases, and Subversion version control, implementing real-time geolocation services.
Integrated advanced geolocation services and Google Maps APIs into native mobile applications for both iOS and Android platforms to improve real-time location accuracy and user experience.

Software Engineer Intern

Illinois State University January 2013 - June 2013

Developed native iOS mapping application providing enhanced outdoor navigation and discovery experiences for visitors and hikers at Starved Rock State Park.
Conducted comprehensive stakeholder interviews and requirements gathering to understand end-user needs, translating requirements into intuitive, user-centric interfaces.
Delivered production-ready application release with comprehensive technical documentation enabling sustained development and ongoing feature enhancements by successor teams.