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Leonardo LescanoLL
Looking for a job

Leonardo Lescano

@leonardolescano

I build production fintech systems with Python, FastAPI, React, and cloud infrastructure.

Brazil
Message

What I'm looking for

I'm open to relocation and remote work, looking to build production systems across backend APIs, frontend interfaces, cloud deployment, and data-driven engineering.

I build and maintain production fintech services at J3 Crédito Inteligente, creating Python and FastAPI REST APIs within a microservices architecture. I also develop React, Next.js, and Tailwind CSS interfaces that consume internal APIs.

I work across integrations, API contracts, validation, error and timeout handling, and CockroachDB query optimization for high-traffic routes. I apply authentication, access control, and input validation practices for sensitive financial data.

Previously, I developed Python deep learning models for semantic image segmentation at Inovisão Computer Vision Lab and co-authored a 2025 Elsevier peer-reviewed publication. My computer engineering thesis evaluated Microsoft Azure cloud infrastructure for scalability, cost, and availability.

Experience

Work history, roles, and key accomplishments

JI
Current

Full-Stack Developer

J3 Crédito Inteligente

Mar 2026 - Present (6 months)

Build and maintain REST APIs in Python and FastAPI within a microservices architecture for a fintech platform in production. Develop responsive interfaces in React, Next.js and Tailwind CSS consuming internal APIs.

IL

Research Assistant

Inovisão Computer Vision Lab

Mar 2023 - Dec 2025 (2 years 9 months)

Developed deep learning models in Python for semantic segmentation of images, covering dataset preparation, training and evaluation. Co-authored a peer-reviewed paper published in an Elsevier journal (2025).

Education

Degrees, certifications, and relevant coursework

Universidade Católica Dom Bosco logoUB

Universidade Católica Dom Bosco

Bachelor of Science, Computer Engineering

2021 - 2025

B.Sc. in Computer Engineering with a thesis on cloud infrastructure, focusing on application architecture deployed and evaluated on Microsoft Azure for scalability, cost, and availability.

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