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LD

Lucca De Carvalho Matuck

Founder and Engineer

  • Três Corações, MG
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Experiências

  • Founder and Engineer

    Em Camadas 3D

    06/2026 até 11/2026 (5 meses)

    Built 3 Claude Code plugins (21 skills, 6 sub-agents, among them a planner, a fresh-eyes reviewer, an analyst and a strategist) for the business, plus my own MCP server for the Mercado Livre seller API. The human-in-the-loop content pipeline turns raw footage into scheduled posts on four networks; every external publish requires an explicit human approval of a preview, per network. ~203k organic views. Open-sourced a local timelapse studio with classical computer vision (linear-light colour correction, ORB+ECC stabilisation): 95 tests, CI.

  • Applied AI and Systems Developer

    Freelance, restaurant client

    12/2024 até 11/2026 (1 ano e 11 meses)

    Sole engineer on a restaurant operations system (orders, kitchen queue, stock, purchasing, point of sale) with an LLM WhatsApp ordering assistant, built and in operation at the client. React/TypeScript, PostgreSQL/Supabase, 105 migrations, built with Claude Code. The model proposes, the code disposes: one strict JSON schema response per turn, re-validated against the current catalogue; prices come from the database; the only write is one order-creation function under a least-privilege Postgres role. Delivery zone is decided in code (geocoding, point-in-polygon); failures hand off to staff. Row Level Security on all tables, with 11 roles modeled on the restaurant’s staff positions; immutable payment and stock ledgers; 54 test files, including a 26-scenario end-to-end run of the assistant against a real local database with the LLM, WhatsApp gateway and geocoder faked.

  • Doctoral Researcher (Machine Learning for Sensor Data)

    University of Aveiro/i3N

    12/2021 até 02/2026 (4 anos e 2 meses)

    Built regression models that recover internal battery temperature and pressure variation from five external signals, on held-out cycles of one instrumented cell per chemistry (Li-ion, Na-ion): 0.075°C and 0.048bar RMSE, R2 up to 0.996. Benchmarked five architectures (ridge, random forest, SVR, LSTM, TCN) in TensorFlow and scikit-learn under Bayesian optimisation, with cycle-level splits preventing leakage. Wrote the full signal chain, from raw interferometric spectrum to physical quantity, then ported it to Python and cross-checked it against the original MATLAB on 7,902 recorded spectra: within 0.17pm worst case.

Formação

  • Engineering Physics

    University of Aveiro

    2021 até 2026 · Doutorado - Completo

  • Mechanical Engineering

    University of Aveiro

    2016 até 2021 · Graduação - Completo

Idiomas

  • Português Nativo
  • Inglês Proficiente
  • Espanhol Conversacional

Habilidades

  • ClaudeCode
  • LLMAgents
  • LLMEvals
  • Python
  • TensorFlow
  • scikit-learn
  • SQL
  • PostgreSQL
  • Supabase
  • Git
  • Bash
  • Linux

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