Engineering portfolio
I build technical systems that stay useful after the demo.
Applied engineering, data analysis, machine learning and technical writing: shaped into case studies that show the work, the tradeoffs, and the thinking behind it.
Cadence
Current role
Solutions Engineer focused on automation, debugging, and technical problem solving.
ML + Data
Core focus
Machine learning, analytics, automation pipelines and technical case studies.
Spain / Ireland
Operating context
Hands-on engineering for global teams with practical delivery constraints.
Current focus
ML, automation and decision-ready interfaces
Credibility strip
Signals that help you scan the work fast
A quick read on scale, output and focus before you dive into the case studies.
6
case studies
Projects spanning ML, optimization, automation and analytics.
10
published articles
Write-ups grounded in experiments, backtests and post-mortems.
3+
years shipping
Work delivered across engineering, dashboards and applied data systems.
Case studies
Selected projects
A tighter, more intentional selection of work: machine learning, automation, optimization, and systems projects where the technical decisions are visible.
Technical writing
Featured writing
Five condensed notes from projects, experiments, backtests and infrastructure decisions: closer to a working notebook than a marketing blog.
Timeline
Professional experience
The throughline across roles: practical systems, debugging under constraints, and converting technical complexity into something teams can use.
Cadence Design Systems
Solutions Engineer
Automation, parasitic extraction debugging, large-scale data inspection and workflow design for silicon validation environments.
- Automated ingestion of PEX data for batches ranging from 10 cells to 1,000+ cells and 100 GB+ SPF workloads.
- Built interactive Bokeh dashboards that cut faulty-net detection time by more than 50%.
- Turned recurring workflow failures into reproducible diagnostics and corrective actions.
ALPS Electric
Quality Engineer
Root-cause analysis, customer-return investigations and corrective-action delivery in the automotive quality domain.
- Managed more than 20 customer returns and structured each case around evidence and failure patterns.
- Applied 5 Whys and similar methods to isolate root causes and convert them into corrective actions.
- Improved issue containment by documenting repeatable investigations and escalation paths.
Electronic Projects
IoT Developer
End-to-end prototype work spanning firmware, communications, hardware testing and data streaming pipelines.
- Built more than 10 IoT prototypes with custom firmware in C++.
- Implemented real-time communication over BLE, LoRa, MQTT and RS-485.
- Delivered complete prototypes from hardware integration to application-layer visibility.
Capability map
Skills and working style
Less like a CV checklist and more like the set of capabilities that repeatedly show up in the projects.
Selected technical skills are lightly linked back to visible case studies. Hover for a quick preview, or click to bring the matching projects into focus.
Modeling and ML
From feature engineering to evaluation and deployment-minded analysis.
Data and analytics
Practical analysis systems that turn messy data into decisions and dashboards.
Systems and automation
Engineering habits for automation, pipelines and performance-sensitive workflows.
Product and execution
The part that makes technical work usable by people outside the codebase.
Profile
About and education
The portfolio is intentionally technical, but the throughline is simple: build practical things, explain them clearly, and make them useful for the people who rely on them.
I work at the intersection of engineering, data analysis, and machine learning, with a bias toward practical systems over demo-only prototypes.
My strongest work usually combines clear problem framing, reproducible analysis, and interfaces that make technical results usable by non-specialists.
I enjoy projects where experimentation, automation, and product thinking need to live together.
2024
MSc in Artificial Intelligence
Polytechnic University of Madrid
Thesis: Enhancement of Multi-Agent Grey Wolf Optimizer for Job Shop Scheduling.
2016 - 2020
BSc in Electronic Engineering and Industrial Automation
Miguel Hernandez University
Thesis: obstacle detection during gait using brain signals with an SVM model.
Start the conversation
Contact
If the work resonates, the easiest next step is a short message. Recruiters, collaborators and technically curious people are all welcome.
Direct contact
Reach out the straightforward way
ramonfc98@gmail.com
linkedin.com/in/ramonfontelles
GitHub
github.com/RamonFontelles
Kaggle
kaggle.com/ramonfontelles
Open to roles and collaborations where technical depth, clear communication and product sensibility all matter.