
Hi, I'm Marc Requena,Computational Engineer specialising in systems, data and audiovisual.
Contact meABOUT ME
From an early age, I have been interested in technology and human development, particularly in how digital systems can improve the way people work and achieve their goals. In an environment dominated by digitalization and entertainment, I learned to filter technology by its real impact: not everything new creates value. My approach focuses on designing solutions where technical innovation has a clear and measurable application. My purpose is to create efficient digital systems that help optimize processes and handle data correctly. I work in areas such as automation, systems design, and signal processing, always aiming to deliver clarity, efficiency, and tangible results. In the long run I want to apply this at a scale where it shows: systems that improve services many people rely on. I come to it from the audiovisual side, which is my technical specialisation, and from a particular way of working: before building anything, I picture where it could fail. Live broadcast gives you no second chance, and that forces you to design systems around what can go wrong.
MY EXPERIENCE
Strategy Analyst — Public Sector and AI
Deloitte· Barcelona
Consulting. Government and public services practice.
Analysis and design of artificial intelligence solutions for public administration: use-case identification, feasibility assessment and implementation design over existing digital infrastructure.
- Python
- SQL
- APIs
- LLMs
Transmission Controller
Corporació Catalana de Mitjans Audiovisuals (TV3)· Sant Joan Despí
Catalonia's public broadcaster.
Routing of dozens of simultaneous signals, external and internal, to more than ten studios, five television channels and radio. Sources include bonded-cellular backpacks, satellite, OB vans and streams, as well as setting up communications between reporters and the gallery.
- SMPTE ST 2110
- SDI
- Bonded cellular
- Satellite (SNG)
- Playout
- Signal monitoring
- Rack patching
AI and Data Engineer
ChattyHiring· Barcelona
Conversational AI platform for recruitment automation.
Design and implementation of the system architecture: frontend–backend integration, database architecture and API implementation for the final product. I also took part in the complete redesign and rebranding of the platform.
- Python
- Supabase
- APIs
- JSON
- Cloudflare
- Docker
- n8n
- Retell
Systems and Administration
RUMS· Barcelona
Real estate startup.
I automated billing, logistics and contract tracking with Power Automate and custom Python APIs, cutting operational delays by over 85% across processes handling more than 3,000 invoices a month.
- Python
- Power Automate
- Holded
- Nester
- Excel
Education and Credentials
Education
BSc in Computational Audiovisual Engineering
Universitat Pompeu Fabra · 2022 - Present
Development, analysis and optimisation of digital systems, grounded in programming, mathematics and signal processing. Currently specialising in acoustics, audio processing, image and video, electronic circuits and digital systems.
UPFLidera — leadership programme
Universitat Pompeu Fabra i Celera · 2026
Selected for the first edition of the programme, created by UPF with Celera, a talent accelerator, to develop the leadership of the participating students.
Live sound technician
Sala Clap, Mataró · 2023
Calibration and operation of analog and digital sound systems for concerts and conferences with over 500 attendees.
Nuclear Physics Masterclass (Binding Blocks)
University of York — Department of Physics · 2020 - 2021
Introductory nuclear physics programme: nuclear structure, binding energies and analysis of experimental data.
Roles and other experience
Treasurer and board member
Engineering Hub (Ehub), Universitat Pompeu Fabra · 2026 - 2027
Financial management of UPF's largest engineering association: invoicing, accounts and budgets. Event organisation and relations with sponsors and companies, handling agreements and budgets in the five-figure range.
Student Delegate
Escola d'Enginyeria, Universitat Pompeu Fabra · 2025 - 2027
Elected official delegate of the degree programme, representing the Engineering School.
Sound design for indie games
Quboo · 2022
Applied signal processing and psychoacoustic models to optimise audio under computational constraints.
TECHNICAL SKILLS
My Approach
My approach focuses on the design and implementation of efficient, scalable systems, combining a strong foundation in computing and signal processing with a practical, real-world view of technology. I treat data management as a core pillar to ensure coherent, traceable, and actionable flows, on top of which I build automations that reduce operational load and improve process efficiency. My professional experience has allowed me to develop solid judgement in systems design and project management, contributing critical thinking and leadership skills to coordinate resources, prioritize tasks, and make technical decisions aligned with concrete, measurable objectives.
Interests: data acquisition systems, physics-inspired AI, low-latency controls and signal decoding.
- Signal Processing
- Data Management
- Systems Design
- Automations
- Project Management
Coding
AI and Tools
Languages
All Technologies
- Python
- Java
- C / C++
- SQL
- n8n
- Lovable
- V0 (Vercel)
- LLMs
- GPT
- Gemini
- Claude
- Matlab
- FL Studio
- Serato
- Traktor
- ElevenLabs
- Suno
- SMPTE ST 2110
- SDI
- Bonded cellular
- Satellite (SNG)
- Playout
- Signal monitoring
- Rack patching
- Supabase
- MongoDB
- APIs
- Docker
- Cloudflare
- JSON
- Git
- Vercel
- Hostinger
- OVHcloud
- Dokploy
- Power Automate
- Retell
- Figma
MY PROJECTS
Final thesis — AKOrN for musical audio generation
Adapting Artificial Kuramoto Oscillatory Neurons (AKOrN) to the musical audio domain: given a fundamental frequency and an instrument identifier, the model generates a waveform with the corresponding timbre. The hypothesis is that a coupled-oscillator architecture, structurally akin to harmonic signals, can be more computationally efficient than the industry's standard architectures. In progress.
Not available
LineWise — Damm x Ehub
Decision-support system for planning Damm's canning lines: it contrasts theoretical planning with what actually happened, enforces the plant's physical constraints, flags problematic transitions between products and predicts weekly OEE. Optimisation with OR-Tools and gradient boosting models for prediction.
View projectInterhack — Inibsa challenge
Predictive analytics platform built on client history: churn probability, upsell potential and other indicators, combining several statistical and machine learning models.
View projectPersonal Website
This very site. Next.js, TypeScript and Tailwind CSS on Vercel, with content separated from presentation and the three language versions generated at build time.
Not available
Quboo
Indie video game development micro-company. I participated in the project's sound design.
Not available
REKXN
Alias in the hard sector of modern electronic music. Based in Barcelona and using the TRAKTOR ecosystem. (Under construction)
View project
CONTACT ME
If the form doesn't work, email me directly at rekenaofficial@gmail.com