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Igor MatheusIM
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Igor Matheus

@igormatheus

Senior backend engineer building scalable, AI-enabled distributed systems and automating workflows to ship 0→1 products.

Brazil
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What I'm looking for

I’m looking to build and deploy AI-enabled backend systems that automate real workflows, improve performance, and ship 0→1 products—while collaborating closely with stakeholders and engineering teams.

I’m a Senior Backend & Forward Deployed Engineer with 10+ years scaling production systems across fintech, ERP, and healthcare AI. I specialize in Python (Django, FastAPI), distributed systems, and API integrations, with a strong 0→1 delivery mindset. I’ve also partnered directly with US and Canada clients, translating business needs into scalable solutions.

In recent roles, I automated healthcare RCM denial management, cutting manual work by ~80%, and improved critical financial platform performance by ~96% (2 min → 5s). I’ve delivered backend architecture for $4B+ transaction processing, led/mentored 6+ engineers, and accelerated ERP purchasing workflows by ~85% (7 days → 1 day) while streamlining device provisioning via Microsoft Graph (~97%).

Experience

Work history, roles, and key accomplishments

TA
Current

Forward Deployed Engineer

Thoughtful AI

May 2025 - Present (1 year)

Built and deployed AI agents for healthcare RCM workflows, automating denial management to cut manual processing time by ~80%. Integrated desktop apps, web systems, and APIs, and led/mentored 6+ engineers.

LB

Backend Engineer

Linker Bank

Jul 2021 - Nov 2021 (4 months)

Designed and implemented Open Finance APIs and integrations to enable secure connectivity with external financial partners. Built and maintained microservices for core banking features, authored API documentation to improve reliability, and resolved production issues to ensure system stability.

FA

Backend Engineer

Flavors Of America

Jul 2019 - Sep 2020 (1 year 2 months)

Contributed to core ERP systems for a 400+ employee company operating in 10+ countries by designing and implementing a purchase approval workflow. Reduced procurement cycle time from ~7 days to ~1 day (~85%), implemented multi-company support across 10 countries, and customized Frappe/ERPNext modules for end-to-end processing.

Education

Degrees, certifications, and relevant coursework

UN

UniBF

Master of Business Administration, Big Data and Project Management

Earned an MBA in Big Data and Project Management in 2023.

FP

Federal Institute of Paraná

Bachelor of Science, Systems Analysis and Development

Earned a B.Sc. in Systems Analysis and Development in 2018.

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