LLMs, Multi-Agent Systems, MLOps, NLP, DSP, Software Development
Machine Learning Engineer | Researcher (PhD) building production-grade AI systems, ranging from bespoke neural architectures in low-level languages to multi-agent LLM workflows (local and API-based). My work spans real-time neural audio systems, automated feature engineering, feature stores, synthetic data generation, digital signal processing, and reproducible ML infrastructure for energy platforms.
Experience includes a strong research track record (140+ citations, €330K+ in funding), open-source contributions (700+ stars, 5K+ users), and work across startups, industry (400+ B2B users), and research labs, with hands-on software engineering in Python, Rust, Go, and C++.
Key roles and responsibilities included:
PhD in Industrial Engineering and Management (Portuguese recognition of foreign degree, 320240067419) U.PORTO (Porto University) (07/03/2024)
PhD in Production Engineering UFF (Fluminense Federal University) (01/08/2018 - 28/07/2022)
Visiting Research Fellow at ICCMR (Interdisciplinary Centre for Computer Music Research) University of Plymouth (01/01/2020 - 31/03/2020)
MSc in Production Engineering UFF (Fluminense Federal University) (01/03/2017 - 31/07/2018)
Bachelor’s Degree in Production Engineering CEFET (Federal Center of Technological Education) (01/03/2010 - 01/12/2015)
2026 - Tect. Declarative programming
language for architecture-as-code.
2026 - Scatters. Interactive, single-file
HTML plots from data and audio.
2025 - CodeWeaver. CLI tool for converting
codebases into LLM-ready Markdown.
2025 - Inscribe. Markdown preprocessor that
executes embedded code.
2025 - CloudMapper. CLI to map and visualize
cloud storage.
2024 - Dead Simple Blog Generator. Static websites from Markdown
and HTML directories.
2023 - Piano Forte. Piano synthesizer based
on a novel representation for quasi-periodic signals.
2022 - Omnes Sonos. Audio plugin leveraging neural networks for real-time sound synthesis.
2022 - Harmonic Compression. Lossy compression codec based on pseudo cycles. Registered in Brazil under the number BR512022000697-9.
2021 - Mark Book. Cross-platform songbook with Flutter. Available for Windows, Android and Web. Registered in Brazil under the numbers BR512022000618-9 BR512022000620-0.
2021 - Signal-envelope. A Python/C++ module to extract the envelope of digital signals. Registered in Brazil under the number BR512022000622-7.
2021 - BibRust. Bibliographic manager made in Rust. Registered in Brazil under the number BR512021000226-1.
2020 - Neural Piano. Neural-network-based piano software. Registered in Brazil under the number BR512020001653-7.
2018 - SongB. Songbook with chord detection, chord repositioning and optimized C++ code. Registered in Brazil under the number BR512020001654-5.
Valdecy Pereira | Marcio Basilio | Carlos Tarjano : Enhancing decision analysis with a large language model: pyDecision, a comprehensive library of MCDA methods in Python. Journal of Modelling in Management, August 2025. doi.org/10.1108/JM2-04-2024-0118.
Valdecy Pereira | Marcio Basilio | Carlos Tarjano : PyBibX - a Python library for bibliometric and scientometric analysis powered with artificial intelligence tools. Data Technologies and Applications, Volume 59, Issue 2, January 2025. doi.org/10.1108/DTA-08-2023-0461.
Carlos Tarjano : A general algorithm for the real-time emulation of pitched musical instruments and the singing voice. PhD Thesis - Production Engineering - Fluminense Federal University, 2022. dx.doi.org/10.22409/TPP.2022.d.11839251743.
Carlos Tarjano | Valdecy Pereira : An Efficient Algorithm For Segmenting Quasi-Periodic Digital Signals Into Pseudo Cycles: Application in Lossy Audio Compression. IEEE/ACM Transactions on Audio Speech and Language Processing, Volume 30, May 2022. doi.org/10.1109/TASLP.2022.3171969.
Carlos Tarjano | Valdecy Pereira : Envelope estimation using geometric properties of a discrete real signal. Digital Signal Processing, Volume 120, January 2022. doi.org/10.1016/j.dsp.2021.103229. Early manuscript available at arxiv.org/abs/2009.02860.
Carlos Tarjano | Valdecy Pereira : Signal-Envelope: A C++ library with Python bindings for temporal envelope estimation. arXiv, October 2021. doi.org/10.48550/arXiv.2110.11807.
Carlos Tarjano | Valdecy Pereira : Neuro-Spectral Audio Synthesis: Exploiting characteristics of the Discrete Fourier Transform in the real-time simulation of musical instruments using parallel Neural Networks. Lecture Notes in Computer Science Volume 11730, September 2019. doi.org/10.1007/978-3-030-30490-4_30.
Carlos Tarjano | Valdecy Pereira : Simulação de instrumentos musicais acústicos em tempo real utilizando redes neurais paralelas no domínio da frequência. Anais do XXXIX Encontro Nacional De Engenharia De Produção - ENEGEP, 2019. dx.doi.org/10.14488/ENEGEP2019_TN_STO_292_1654_37336.
Carlos Tarjano | Ruben Gutierrez | Valdecy Pereira : Traditional and alternative bibliometric indicators: assessing the evolution of interest in project management paradigms. Anais do XXXIX Encontro Nacional De Engenharia De Produção - ENEGEP, 2019. 2594-9713.
Carlos Tarjano : Redes neurais aplicadas à modelagem de instrumentos acústicos para síntese sonora em tempo real. Master’s Degree Thesis - Production Engineering - Fluminense Federal University, 2018. dx.doi.org/10.22409/TPP.2018.m.11839251743. Available online(Portuguese).
Carlos Tarjano | Valdecy Pereira : Neural Networks as a Tool for Big Data: The State of the Art. Anais do I Simpósio Internacional de Network Science - SINS, 2017. networkscience.com.br/anais/.
Carlos Tarjano | Magda Leite | Paula Purcidonio : O Processo de Desenvolvimento de Produtos em Startups Baseadas em Inovação Criativa. Espacios. Vol. 37 (Nº 07). Pág. 6, 2016. 0798 1015.
2025 - Conference. Energy Technology Open Day. Presentation: Language Models for Automatic Feature Engineering. Porto, FEUP (October 15th).
2025 - Conference. Conferência ATE: Liderar a mudança: soluções para um novo paradigma energético. Stand showcasing the CLOUDIA4.eu platform MVP, the Voltus Feature Store, and synthetic time series generation results. I was particularly responsible for the Voltus Feature Store. Porto, Super Bock Arena (June 26th).
2025 - Blog. The Fortnightly Tambourine. A blog aimed at popularizing science.
2025 - Peer Review. Multiple article reviews for EURASIP Journal on Audio, Speech and Music Processing.
2025 - Peer Review. Multiple article reviews for Journal of Informetrics.
2023 - Competition. Neural Audio Plugin Competition. Organized by The Audio Programmer and Neutone. Presentation of the Piano Forte project.
2023 - Funding. Auxílio à Pesquisa - Pesquisa Inovativa em Pequenas Empresas - PIPE. Preparation of a successful funding proposal for the Brazilian agency FAPESP, securing total funding of R$ 1.000.000,00 (approximately 160.000 euros). More details at orcid/funding.
2023 - Interview. Adeus aos longos formulários: como especificar projetos com conversas simples. Interview as Match<IT> Head of Data about conversational agents.
2019 - Conference. XXXIX Encontro Nacional de Engenharia de Produção (ENEGEP). Oral presentation of the paper “Simulação de instrumentos musicais acústicos em tempo real utilizando redes neurais paralelas no domínio da frequência”.
2019 - Conference. XXXIX Encontro Nacional de Engenharia de Produção (ENEGEP). Oral presentation of the paper “Traditional and alternative bibliometric indicators: assessing the evolution of interest in project management paradigms”.
2017 - Conference. I Simpósio Internacional de Network Science (SINS). Oral presentation of the paper “Neural Networks as a Tool for Big Data: The State of the Art”.
2014 - Crowdfunding campaign. Carcara Eco Footwear. Crowdfunding campaign for a line of eco-friendly shoes.