Carlos Henrique Tarjano Santos, PhD

Match<IT> Head of Data (17/03/2023) ▶Managing a small team developing and implementing humanlike conversational interfaces and textual similarity algorithms employing state-of-the-art machine learning, NLP, and Agile software development techniques.

Match<IT> IA/NLP Researcher (24/10/2022 - 17/03/2023) ▶Designing and implementing improvements in the algorithm used to match tech sellers with tech buyers based on tabular and textual descriptions.

UFRJ [Federal University of Rio de Janeiro] Administrative Assistant (27/01/2009 - 15/12/2022) ▶In Brazil, federal positions such as this are very sought after, as they offer tenure and paid study leave, among other perks. They require passing a selective process with thousands of candidates for each vacancy. Working for more than a decade in one of the largest universities in Latin America has allowed me to explore a wealth of work experiences and develop a solid network, while pursuing formal education. Among the functions I was able to perform are:
▶ Assisting in the administration of the International Relations undergraduate program, including creating its visual identity, analyzing its scholarly production metrics, and evaluating student performance.
▶ Managing all aspects of the Philosophy graduate program, from maintaining its website to analyzing its scholarly production metrics, besides developing multiple solutions to optimize and automate the work processes.
▶ Serving as vice-chief of IFCS financial center, where I assisted in planning and executing various projects, besides overseeing the use of the annual budget.
▶ Supervising the logistics of document flow in IFCS, while implementing and enforcing digitalization and automation solutions.

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 : 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.

2023 - Piano Forte. Piano synthesiser based on a lightweight (~600KB, ~150k parameters) neural network and a novel representation for Quasi-Periodic signals..

2022 - Omnes Sonos. The first plugin to leverage neural networks to sound synthesis in real-time.

2022 - Harmonic Compression. Lossy compression codec based ond pseudo cycles segmentation. Registered in Brazil under the number BR512022000697-9.

2021 - Mark Book. Cross-platform songbook developed in Flutter. Available for Windows, Android and Web. Registered in Brazil under the numbers BR512022000618-9 BR512022000620-0.

2021 - Signal-envelope. A Python 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 networks based piano software. Registered in Brazil under the number BR512020001653-7.

2018 - SongB. A minimalist songbook app with chord detection, easy chord repositioning and optimized C++ code. Registered in Brazil under the number BR512020001654-5.