Senior ML Engineer
Artificial Intelligence Engineer
Available for hire
Years of
experience
5+ years
Experience
level
Senior
Available
for
Full-time, Contract, Freelance
Available from
28 Apr 2026
Senior ML Engineer specializing in real-time, production-grade ML infrastructure and decisioning systems. My work spans the full ML lifecycle — from feature engineering and modeling to deployment, monitoring, and platform reliability — bridging data science experimentation with systems that actually ship. Resourceful enough to figure things out independently, but structured enough to ensure what gets built holds up in production. Often the person teams rely on to connect the dots between a data scientist’s notebook and a product that delivers real value. At my best going deep on hard problems while keeping sight of the bigger picture, and always looking for environments where that kind of end-to-end ownership is valued. If there’s a team solving interesting problems at the intersection of ML and real-world systems, let’s talk.
Skills
Employment History
Data Engineer at
Universidad Francisco Gavidia
2024
-
2025
Built the organization's first automated data platform from scratch, replacing manual reporting workflows with reproducible ETL pipelines in Python across SQL Server–based transactional sources. Rewrote and optimized complex analytical queries to support executive dashboards and partner reporting, cutting report generation from a monthly manual process to an automated job running in under 15 minutes. Proposed a future-state cloud architecture aligning on-premise workloads with AWS-native services.
Built the organization's first automated data platform from scratch, replacing manual reporting workflows with reproducible ETL pipelines in Python across SQL Server–based transactional sources. Rewrote and optimized complex analytical queries to support executive dashboards and partner reporting, cutting report generation from a monthly manual process to an automated job running in under 15 minutes. Proposed a future-state cloud architecture aligning on-premise workloads with AWS-native services.
Senior ML Engineer at
Euronet Worldwide
Current
2023
-
Now
Designed and currently operate a real-time ML decisioning platform embedded within the company's Core Transaction System, enabling fully automated fraud and compliance decisions across global payment flows — covering ~83% of all transactions worldwide. The platform serves 100K+ daily transactions through containerized SageMaker endpoints at ~0.75s inference latency under a strict <2s SLA, reducing manual compliance reviews by ~50–90% per fraud topology while maintaining high recall. Built an event-driven decision engine that integrates asynchronous events, batch jobs, and internal APIs — supporting dynamic rule and model updates without downtime. Also introduced LLM-assisted reporting pipelines using Amazon Bedrock and LangChain to automate fraud trend summarization for compliance and leadership stakeholders.
Machine Learning Engineer at
Omdena
2021
-
2022
Contributed to end-to-end ML projects across healthcare, computer vision, energy, and mobility within globally distributed teams of 30–50 engineers. Worked on time-series models including LSTM architectures for cardiac arrest prediction, and helped deliver a production-ready EV charging dataset later incorporated into the company's first commercial release. Gradually took ownership of pipeline components, leading workstreams in data processing and MLOps.
Data Scientist at
Fiado App
2021
-
2022
Designed the company's first credit decisioning system, building ensemble ML models (XGBoost, Random Forest, Logistic Regression) that achieved AUC >0.75 and ~80% precision, paired with a human-in-the-loop workflow for continuous retraining. Reduced credit decision time from ~2 hours to ~25 minutes. Provisioned the cloud data warehouse on AWS Redshift and deployed containerized inference services, handling everything from schema design to real-time prediction integration.
Blockchain Engineer at
API3
2021
-
2023
Develop smart contracts focusing on API3 technology (off-chain information in the blockchain).
Education
AWS Certified Machine Learning – Specialty at
Amazon Web Services Training and Certification
2024
-
2024