Career
Where I've been.
From data pipelines processing 50 billion daily events to the ML systems that make sense of them.
Sep 2025 — Present
Senior AI/ML Engineer
King CURRENT
Part of the ML Operations organization building the infrastructure, tooling, and practices that enable machine learning systems at scale.
- Developing scalable ML infrastructure supporting batch and real-time workloads.
- Contributing to decision-enablement systems delivering personalized player experiences.
- Building tooling around reinforcement learning and contextual multi-armed bandit approaches.
- Designing production-grade pipelines for model training, deployment, monitoring, and retraining.
- Promoting engineering best practices through code reviews and technical mentoring.
PythonSQLGCPBigQueryVertex AIKubernetesTerraformAirflowMLflowDocker
Mar 2021 — Aug 2025 · 4 years 5 months
Senior Data Engineer
King WORK
Promoted to senior with same core responsibilities plus expanded leadership and client-facing scope.
- Led projects end-to-end from definition through delivery.
- Primary contact point with 3rd-party vendors for new integrations and maintenance.
- Close collaboration with internal stakeholders — finance, data science, game business teams.
- Ran PoCs to evaluate new technologies and validate project feasibility.
- Worked with PO and PM to align deliverables to company objectives and reduce technical debt.
PythonSQLBigQueryApache AirflowGCPTerraformDocker
Dec 2018 — Mar 2021 · 2 years 3 months
Data Engineer
King WORK
Joined the core data products team delivering top-tier data models, tools, and products across game and business teams at King. Deliberately moved to a completely new tech stack to grow.
- GCP as cloud provider — BigQuery, PubSub, Cloud Functions, Compute Engine.
- Docker containers, Terraform for infrastructure provisioning.
- Built solid event ingestion pipelines and migrated ETL management to Airflow 2.0.
PythonSQLGCPBigQueryAirflowDockerTerraform
Aug 2018 — Nov 2018 · 4 months
Marketing-Analytics Product Manager
Social Point WORK
Embedded a small analytics team inside marketing to bridge the gap between marketing needs and data engineering delivery.
- Owned all analytic work inside the marketing department.
- Introduced agile (Scrum) methodologies to the team.
- Managed 1–2 data analysts, handling unplanned analysis and maintenance.
- Owner of the marketing BI tool: QlikView.
QlikViewSQLScrumAnalytics
Mar 2014 — Aug 2018 · 4 years 5 months
Data Engineer
Social Point WORK
Part of the "datalab" team responsible for data ingestion, KPI creation, and BI tool maintenance.
- Maintained an in-house semi-real-time ETL (Python + Redis consumers, <3 min latency).
- Maintained hourly and daily ETLs in AWS Redshift (PHP).
- Owned the aggregation pipeline from raw events to summary tables.
- 3rd-party data ingestion; ETLs scheduled with crontab, later migrated to Azkaban.
PythonPHPSQLAWSRedshiftRedisAzkaban
Mar 2013 — Mar 2014 · 1 year
Data Analyst Developer Intern
Social Point WORK
Joined to document the company's main database. Instead of doing it manually, built a bot to extract schema and metadata and populate a structured Google Sheet. Joined as a developer thereafter.
- Learned the fundamentals of big data environments.
- Automated manual processes and improved knowledge of relational and NoSQL databases.
- Understood free-to-play game economics and the KPIs that drive them.
PythonSQLGoogle Sheets API
Jun 2012 — Feb 2013 · 9 months
Software Developer Internship
everis WORK
Developed an open-source solution for the management and deployment of multiple hosts (servers and clients) on the same infrastructure — a web app tool to easily push changes across many machines.
- Implemented git-based version control into the deployment workflow.
- Introduced coding standards to a previously vim-only server workflow.
PHPGitLinuxOpen Source
2007 — 2013
Engineer's Degree in Computer Science
UPC · Facultat d'Informàtica de Barcelona EDUCATION
Universitat Politècnica de Catalunya. Full engineering program covering algorithms, systems, databases, networks, and software engineering fundamentals.
