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Eduardo Schmidt

@eduardoschmidt

Message

I build AI platforms and scalable infrastructure for financial products.

Brazil

Message

At Monarch Money, I build AI/ML platform capabilities for financial products, from fine-tuned open-weight LLMs and AI agents to low-latency data-enrichment and recurrence-detection systems that reduced manual effort by more than 20% and generated six-figure annual savings.

I've also launched edge-computing software at Seashell, built ML and cloud platforms as a consultant, and researched robotics, 3D scene representations, and real-time estimation systems. I bring hands-on experience across Python, PyTorch, AWS, infrastructure as code, APIs, and technical leadership.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer, AI/ML & Platform

Current

Monarch Money Inc.

Mar 2022 - Present (4 years 5 months)

Joined as a Full Stack Engineer, worked on the Infrastructure & Platform team, and became a founding member of the ML team. Led development of low-latency, learning-based data enrichment pipelines and a scalable in-house financial recurrence detection platform, delivering significant cost savings.

Python PyTorch LangGraph Docker OpenSearch Faiss AWS Terraform REST GraphQL WebSockets Snowflake Rust React

Education

Degrees, certifications, and relevant coursework

Universidade Federal de Santa Catarina (UFSC)

Master of Science, Automation and Systems

2015 - 2017

Grade: 3.91/4

Completed coursework in stochastic processes, estimation theory, adaptive filtering, embedded software, and reconfigurable logic devices. Graduated with a GPA of 3.91/4.

Universidade Federal de Santa Catarina (UFSC)

Bachelor of Science, Control and Automation Engineering

2009 - 2015

Grade: 9.16/10

Completed coursework in signal processing, advanced control systems, artificial intelligence, data structures and algorithms, robotics, and operating systems. Graduated as the top-ranking student in the class with a GPA of 9.16/10, the 15th highest mark in the history of the department (top 2% of all time).

Brown University

Visiting Student, Engineering

2012 - 2013

Completed graduate-level coursework in machine learning, computer vision, computer networks, management of industrial/nonprofit organizations, and mathematical modeling of biological systems.