software engineer

Lucca Becker.

Computer Science @ Unisinos — interested in backend, systems, data, and AI.

// about

CS student with hands-on experience from an internship at Fokvs, where I worked across the full stack — backend endpoints, an LLM evaluation pipeline, automation workflows, and mobile features.

Alumnus and current mentor at FRC Team 1156. As a student, I led Scouting & Strategy for 3 years — building data pipelines, dashboards, and coordinating 12+ people across international competitions. Our team earned a World Championship award in Houston.

Open source contributor at S4C, maintaining Homebrew taps and working on systems tools in C. Active in competitive programming — ICPC, and marathons.

Looking for internship or junior opportunities in software engineering, data, or related areas.

Computer Science BSc

Universidade do Vale do Rio dos Sinos

GPA 9.4 / 10 · 2025 – 2028

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Competitive Programming

ICPC 2025 · OBI 2025 · Code@Night

Brazil First Phase · Senior Level

Languages

Portuguese — Native

English — Fluent (C1)

// experience

Software Engineer Intern

Fokvs — AI for Study & Focus

Jun 2025 – Dec 2025 Hybrid

Built and maintained backend endpoints, handling breaking changes, versioning, and third-party integrations.
Developed an LLM evaluation/benchmarking system (LangChain + DeepEval) that became the quality baseline for the AI Scan feature.
Shipped a subscription cancellation flow with the Design team, increasing user feedback collection by 25%.
Delivered features across web and mobile (NestJS, React, Flutter) end-to-end.
Built n8n automation workflows to eliminate repetitive tasks and integrate external services.

Python TypeScript NestJS React PostgreSQL AWS S3 Flutter Docker

Scouting & Strategy Leader

FRC Team Under Control 1156

Jan 2022 – Feb 2025 In-person

Designed end-to-end data pipelines for robot scouting across multiple international FRC events.
Built automated collection workflows (web forms → Google Sheets) and Looker Studio dashboards for real-time match strategy.
Led 12+ scouters during competitions. Team earned 4 awards including a World Championship Engineering Inspiration Award in Houston.

Python Svelte TypeScript Looker Studio

// projects

pong-ai

A Pong game where an AI agent learns to play from scratch using a neural network trained with Policy Gradient Reinforcement Learning — built entirely from the ground up in C++ with no ML libraries.

C++Reinforcement LearningPolicy GradientNeural NetworksSFMLOOP

github → 02

mdcat

Terminal Markdown renderer built from scratch in C. Parses Markdown syntax and renders formatted output using ANSI escape codes — headings, bold, italic, code blocks, and lists.

CCLIParsingANSI

github → 03