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Fernando Garcia de la Cruz
fergarciadlc.github.io
fergarciadlc
Fernando Garcia de la Cruz
Work Experience
Ear Candy Technologies
Audio Developer - DSP Engineer
August 2022 - present
Globant
Python-Data Engineer - Data & Artificial Intelligence Studio
September 2021 - present
Everis
Python Engineer - Data & Analytics
January 2021 - September 2021
Ciencia desde Cero
Scientific communicator
August 2017 - January 2023
Guit-Art Music School
Guitar Teacher and Audio Engineer
November 2013 - June 2019
Education
BS in Electronics and Communications Engineering
National Polytechnic Institute
Superior College of Mechanical and Electrical Engineering
Speciality in Acoustics
Mexico City, Mexico
Professional License: 12035208
Projects
Personal Open Source projects can be found in my github and portflolio.
The Sound of AI Accelerator
I served as the Assistant Director for the first Sound of AI
Accelerator, a startup
accelerator in music-audio-AI. My responsibilities included program
organization, team support, and coordinating with mentors and speakers.
1st The Sound Of AI Hackathon
I played a key role in organizing and participating in the 1st The
Sound of AI
Hackathon,
which focused on audio and music technology. My team developed
Modelizer, a real-time audio
processing VST using neural networks.
Open Source Research
I contributed significantly to the Open Source
Research project, a collaborative
effort with over 200 TSOAI community members. My key achievement was
co-authoring "From Words to Sound: Neural Audio Synthesis of Guitar
Sounds with Timbral Descriptors" for the 3rd Conference on AI Music
Creativity (2022). As Project Manager, I led team coordination and
communication efforts. Additionally, as a programmer, I contributed to
the development of a voice-activated neural synthesizer.
Reverberation time measurement using Matlab
The project aimed to develop a Matlab-based program for the measurement
of reverberation time, using basic audio equipment (Microphone, speaker,
and audio interface).
Intelligent Interpreter (Hackathon BBVA 2020)
OCR ML model for the automation of the transcription task in the bank
environment by the usage of the Google Vision API, the communication was
implemented through an API REST application using Python and Flask and
presented within a web service.
Selected Open Source Projects for music technology: Orbit, Harmonic Playlist, Mictlan, Amaranth, gentone, FFT-conv-decv.
Conferences and Talks
Audio Developer Conference 2023
Attendee, and workshops on Cmajor and Entrepreneurship.
Socios Formadores (ITESM)
During August 2023, I participated with Ear Candy Technologies in a set
of workshops with JUCE for the program Socios Formadores at Technológico
de Monterrey, campus Mexico City and Puebla.
Expoacustica 2023 (IPN)
May 2023, I participated with Ear Candy Technologies in IPN expoacustica
2023, international congress on Acoustics. I presented a Workshop and a
conference on Audio Plugins.
Mexsynthco 2023
September 2023, with Ear Candy Technologies presented
Amaranth, an open
source synth, presented about the project.
Ear Candy Meetings 2022
This talk is about a use
case for the Spotify API, where you can select a song of your choice and
generate a playlist based on its style and the same music key as the
reference song.
Technical Strengths
Programming languages Python, Matlab, C, C++, Go, CMajor
Data Engineering Apache Beam, Airflow, Kafka, Apache Beam, Spark-Pyspark.
Google Cloud Platform Dataflow, CloudFunctions, Composer, Computer Engine, CloudRun.
DBMS SQL: Postgres, MySQL, BigQuery, NoSQL: MongoDB.
API Development: Flask, FastAPI.
Data analysis Numpy, Pandas, SciPy, Librosa, OpenCV.
Data Visualization Matplotlib, Seaborn, Plotly, Cufflinks.
Machine Learning SciKit-Learn, Tensorflow, Keras.
DevOps Docker, Travis CI, Jenkins, Kubernetes.
Web Development HTML, CSS, Javascript, Flask, Django.
Audio and Signal Processing Matlab, C++-JUCE, Pure Data.
Media and Office Software Reaper, Adobe Suite, MS Office.
AI Tools ChatGPT, DALL-E, Midjourney, Stable Diffusion. \
Languages
English (Fluent)
Pre-Sessional English Course - Queen Mary University of London,
Durham University, University of Leeds. Overall Weighted Average:
61.5
Reading: 62 / 68
Writing: 58 / 68
Speaking: 68 /68
Listening: 17 / 20
- TOEFL ITP Total Score: 557
- IELTS Overall band: 6.0
Spanish (Native)