Ruben Gomez
Mathematician working across blockchain, crypto-mining and algorithmic trading
Profile
Background and focus.
I am a mathematician and engineer with first-hand operational experience across cryptocurrency, blockchain protocols, mining infrastructure and algorithmic trading. My work combines applied mathematics with end-to-end ownership of the systems at the core of the digital-asset economy: wallets, smart contracts, mining pools, ASIC fleets and exchange-facing trading.
As founder and director of PowerPool Mining SL, a cryptocurrency mining operation with over $70M in revenue, and as project lead at Lokotech AS, where I lead the in-house design of the ASIC and the overall system architecture for our own crypto-mining hardware, I have built and run the kind of infrastructure usually only seen from the inside. Earlier work included algorithmic arbitrage of cryptocurrencies and computational-power markets, giving me a working understanding of market microstructure and trading behaviour.
I work in Spanish, English, Italian and Catalan, including written technical reports, and operate comfortably across international, multi-language settings.
Areas of Expertise
Technical domains I work across.
01
Cryptocurrency & Blockchain Systems
Bitcoin, Ethereum and EVM-compatible chains, wallet custody (hot/cold/multi-sig), transaction tracing, address attribution, smart-contract behaviour, token issuance and DeFi mechanics. Comfortable working at protocol level as well as application level.
02
Crypto-Mining Operations & Hardware
Mining-pool architecture, hashrate accounting, payout schemes (PPS, PPLNS, FPPS), stratum protocols, ASIC firmware and performance, electrical and thermal design, and the economics of large-scale mining. Built from the inside as both an operator and a hardware architect.
03
Algorithmic Trading & Markets
High-frequency and arbitrage strategies across cryptocurrency exchanges and computational-power markets. Statistical analysis of order books, execution patterns and microstructure. Built and operated my own systems in production rather than studied them academically.
04
Mathematical & Quantitative Analysis
Applied mathematics, statistics and computational modelling. Probabilistic reconstruction of events from incomplete records, simulation, regression and predictive modelling. Trained to state assumptions explicitly and quantify uncertainty.
Professional Experience
Operating roles across crypto-mining, blockchain and algorithmic markets.
2023 – PRESENT
Lokotech AS
Senior Engineer & Project Lead
Oslo, Norway
Lead the in-house design of the ASIC and the overall system architecture. Not integration of third-party silicon, but the chip itself together with power delivery, thermal management, board design and the firmware that controls it in production. End-to-end ownership of a real crypto-mining hardware programme.
2022 – PRESENT
PowerPool Mining SL
Founder & Director
Madrid, Spain
Built and ran a high-performance cryptocurrency mining operation with $70M+ in revenue. Designed dynamic coin- and algorithm-switching, latency-optimised stratum servers, automated reward distribution and predictive miner-allocation models. Direct day-to-day responsibility for mining-pool architecture, hashrate accounting and the financial mechanics of payouts.
2015 – 2021
Independent Crypto Trader
Algorithmic Arbitrage & Computational Markets
Madrid, Spain
Designed and operated high-frequency trading systems across cryptocurrency exchanges and computational-power markets. Hands-on experience with order-book dynamics, execution latency, slippage and the practical limits of statistical strategies in volatile markets.
2019 – 2020
5 Digital Street
Full-Stack & Hardware Engineer
Madrid, Spain
IoT hardware interfaces and cloud back-ends for remote management of connected devices. Firmware and control-layer work bridging embedded systems and web platforms.
2020 – 2021
Automotive Renting / Leasing Sector
Blockchain Project Lead (COVID-19 Compliance)
Spain
Led a blockchain project to record and certify COVID-19 regulatory compliance in the automotive renting and leasing sector. Early experience taking blockchain technology from a regulatory requirement to a deployed compliance system.
Education
Academic background.
2019 – 2023
Universidad Carlos III de Madrid
BSc in Applied Mathematics & Computer Science
Leganés, Spain
Joint degree combining applied mathematics with computer science. Coursework spanning real and numerical analysis, probability and statistics, optimisation, algorithms and software engineering.
2017 – 2019
American School of Madrid
International Baccalaureate (37/45)
Pozuelo, Spain
Triple qualification: Spanish EVAU, US High School Diploma and the IB Diploma. Bilingual academic environment that established my fluency in English alongside Spanish.
2013 – 2017
International School of Monza
Secondary School (English-medium)
Monza, Italy
Four years of secondary education in an international, English-medium environment. Source of my working fluency in Italian and of an early international, multi-language outlook.