About Martin
🤝 Free 30-Minute Strategy Call:
I offer a complimentary initial 30-minute consultation to understand your core challenges, outline a strategic action plan, and provide a transparent timeline and budget estimate - zero commitment.
Are your cloud compute costs out of control? Are legacy code and slow data pipelines bottlenecking your product's growth? I architect and fully implement high-performance, globally scalable systems that drive business ROI.
As a Technical Founder I specialize in Performance-First Engineering. I help scale-ups and global enterprises build robust architectures from scratch or rescue inefficient systems, ensuring every technical decision aligns with cost-reduction and scalability goals.
How I drive impact:
Extreme Optimization & Client-Side Compute: Successfully compiled heavy legacy C/C++ simulation engines (EPANET/SWMM) into WebAssembly for native browser execution. This enabled zero-latency analytics and completely eliminated backend compute overhead for a complex SaaS platform.
Enterprise Data & FinOps: Architected a strategic migration to Microsoft Fabric for a global IoT platform. Leveraged Direct Lake mode to resolve severe Power BI bottlenecks, delivering instant data reporting and slashing cloud ingestion costs.
Open-Source Impact: Contributions to cleanlab (11k+ stars), heavily optimizing algorithmic efficiency for ML workflows used by developers worldwide.
Pricing & Engagement:
While available for daily/hourly consulting, I highly prefer and offer Fixed-Price / Value-Based Project pricing so we align on deliverables and ROI, not hours worked.
Technical Arsenal:
Core: Python (Expert), SQL, JS/TS, WebAssembly, Optimization.
Data & Cloud: AWS, Azure, GCP, Fabric, Snowflake, Serverless IoT ETLs.
AI & ML
Web: FastAPI, Svelte, Docker, CI/CD.
Fluent in English (C1) and highly accustomed to working async with US and global teams.
Spanish
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- WaterWays Artificial Intelligence S.L.Technical CoFounder & Principal ConsultantApril 2023 - Today (3 years and 2 months)• ● Flagship Platform (WaterWays-AI): Architected and deployed a comprehensive, enterprise-grade water management SaaS entirely from scratch, handling front-to-back development and cloud infrastructure.• ● Client-Side Compute Optimization: Successfully adapted and integrated heavy legacy hydraulic simulation engines (EPANET and SWMM) directly into the browser. This eliminated backend compute overhead, drastically reduced server costs, and enabled zero-latency, high-speed simulations for end-users.• ● IoT Data Engineering: Engineered highly efficient, serverless custom Python ETL pipelines capable of real-time IoT data ingestion, stream processing, and automated anomaly alerting without bottlenecking (20k+ sensors).• ● Advanced Integrations: Developed dynamic GIS spatial data visualization tools and implemented robust Role-Based Access Control (RBAC) via Firebase auth token.
- Kurita Water Europe GroupSenior Data & ML EngineerJuly 2022 - Today (3 years and 11 months)• ● Performance Optimization & Cost Reduction: Improve legacy imap ingestion pipelines from 40+ minutes per run to 1-2 minutes per run. Implemented aggressive multithreading and parallelization strategies in Python, significantly accelerating data processing speeds and reducing Azure cloud compute costs.• ● Architecture & Scaling: Designed and deployed machine learning and data engineering pipelines for global-scale IoT devices, utilizing Azure cloud services and managing the Snowflake data warehouse architecture.• ● Strategic Migration to Microsoft Fabric: Aligned with business stakeholders to resolve severe performance bottlenecks and end-user latency complaints caused by Power BI to Snowflake data imports. Architected and executed a full migration of data ingestion and analytics pipelines to Microsoft Fabric, leveraging Power BI's Direct Lake mode to eliminate continuous data scanning overhead and ensure instant report loading.
- Spanish ArmyDeep Learning EngineerJuly 2020 - July 2022 (2 years)• ● Owned the end-to-end lifecycle (from raw data collection to production deployment) of mission-critical Speech-to-Text NLP models for national intelligence.• ● Built and trained high-accuracy models using TensorFlow and HuggingFace, executing data augmentation and validation to ensure reliability in highly secure environments.
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Education
- Master of ScienceCESTE Business School, partner of University of Wales Trinity2022MSc in financial management
- Centro universitario de la defensa2020
Certifications
- Cambridge English Level C1 (Advanced)Cambridge2018