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Ivete de Amorim UserIU
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Ivete de Amorim User

@ivetedeamorimuser

AI Product Engineer building PotiLar, a production real-estate marketplace, and LLM-powered products and workflows.

Spain
Message

I built and operate PotiLar, a production real-estate marketplace for Rio Grande do Norte. I work across listings, payments, professional accounts, SEO, maps, moderation, and operational tooling.

I built NOVUA Inbox, an operational inbox that prioritizes conversations by value, urgency, response timing, and revenue risk using structured workflows and AI-assisted triage.

I also built Decision Room, a workspace for commercial approvals and risk evaluation. It combines deterministic policy checks, explainable AI, human checkpoints, simulation workflows, and audit trails.

My work spans full-stack product development, from architecture to deployment, including LLM workflows, API integrations, and automation. I’ve also contributed five merged pull requests to open-source projects including GENesis-AGI, GD4AI, iCalendar, AetherAI3, and MEX.

Experience

Work history, roles, and key accomplishments

DR
Current

Independent Product Engineer

Decision Room

Jan 2026 - Present (9 months)

Built a decision-support workspace for commercial approvals and risk evaluation, with deterministic policy checks, explainable AI, human checkpoints, simulation workflows, and audit trails.

PO
Current

Independent Product Engineer

PotiLar

Jan 2026 - Present (9 months)

Built and operate a production real-estate marketplace for Rio Grande do Norte, owning listings, payments, professional accounts, SEO, maps, moderation and operational tooling.

NI
Current

Independent Product Engineer

NOVUA Inbox

Jan 2024 - Present (2 years 9 months)

Built an operational inbox that prioritizes conversations by value, urgency, response timing, and revenue risk using structured workflows and AI-assisted triage.

Education

Degrees, certifications, and relevant coursework

Harvard University logoHU

Harvard University

CS50x & CS50 AI, Computer Science

Completed CS50x and CS50 AI, covering computer science, algorithms, software engineering, and AI fundamentals.

Stanford University logoSU

Stanford University

Machine Learning Specialization, Machine Learning

Completed the Machine Learning Specialization, covering machine learning, neural networks, and applied ML.

DeepLearning.AI logoDE

DeepLearning.AI

Machine Learning Engineering for Production (MLOps), Machine Learning Engineering

Completed the Machine Learning Engineering for Production (MLOps) course, covering production ML systems, deployment pipelines, and model operations.

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