Ricardo García Ramírez
Senior Software Engineer · Python · .NET · Data · AI
Summary
Senior Software Engineer with 7+ years of experience building backend services, APIs, data pipelines, automation tooling, and cloud-based applications across enterprise and scientific environments. Strong Python background through data engineering, ETL, ML, scientific computing, CLI tooling, and reproducible pipelines. M.Sc. in Data Science (PUC Chile, Distinction) with thesis work in Bayesian inference and computational cardiac modeling.
Experience
- Build and maintain enterprise backend services, APIs, analytics tooling, operational scripts, dashboards, and data workflows supporting large-scale financial data systems.
- Develop Python-oriented automation and data workflows for operational analytics, reporting, validation, documentation, and engineering productivity.
- Design telemetry and monitoring solutions using Splunk, Azure DevOps data, database-backed reporting, and Power BI.
- Contribute to modernization and technical debt reduction, including Java refactoring and upgrade-readiness work while preserving behavior and release stability.
- Contributed to enterprise initiatives with approximately USD 1M in business impact.
- Developed internal and customer-facing APIs, enterprise services, and serverless applications using C#, .NET, and Azure Functions.
- Translated functional requirements into conceptual designs, estimates, prototypes, and production-grade software.
- Implemented automated tests, Jenkins CI/CD workflows, monitoring, telemetry tooling, and production troubleshooting.
- Built backend services and desktop automation tooling using C#, .NET Core, and .NET Framework.
- Performed requirements analysis, authored test scenarios, wrote test scripts, and contributed to code reviews and documentation.
- Built C#/.NET backend services and WPF/XAML MVVM desktop tools for laboratory automation, device control, data acquisition, and automated biomedical testing workflows.
- Worked with cross-functional stakeholders to capture requirements, deliver reusable software, and support Agile delivery.
Education
Graduated with Distinction for outstanding academic performance and thesis excellence. Thesis: Probabilistic reconstruction of the Purkinje network from electrocardiogram signals using computational modeling and Bayesian inference.
Minor in Biomedical Microtechnology. Academic Excellence Award — Top 5% GPA.
Teaching
Bioinstrumentation courses (TEC20/TEC21): BI2001B, BI2005B, BI3010, BI3011, BI3014.
TA for undergraduate Physics lab courses.
Skills
Languages
Python, C#, Java, TypeScript, Rust (PyO3), SQL, Bash
Backend / Cloud
FastAPI, ASP.NET Core, Azure Functions, Docker, CI/CD
Data
pandas, DuckDB, SQLite, Parquet, ETL, Splunk, Power BI
AI / ML
RAG, Qdrant, OpenAI, Anthropic, scikit-learn, JAX, PyTorch
Scientific
NumPy, PyVista, VTK, GMSH, Bayesian Optimization
Tooling
GitHub Actions, Azure DevOps, PyPI, pnpm, Next.js
Languages
Spanish (Native) · English (Full Professional — TOEFL iBT 109 / ITP 653)
Publications
Beduk, T., Gomes, M., et al., Garcia-Ramirez, R., et al. (2022). A Portable Molecularly Imprinted Sensor for On-Site and Wireless Environmental Bisphenol A Monitoring. Frontiers in Chemistry, 10, 833899. DOI ↗
Garcia-Ramirez, R., Cerda-Kipper, A. S., Alvarez, D., et al. (2021). Latest Updates on the Advancement of Polymer-Based Biomicroelectromechanical Systems for Animal Cell Studies. Advances in Polymer Technology, 2021, Article 8816564. DOI ↗
González-González, E., Garcia-Ramirez, R., et al. (2021). Automated ELISA On-Chip for the Detection of Anti-SARS-CoV-2 Antibodies. Sensors, 21(20), 6785. DOI ↗
Garcia-Ramirez, R., & Hosseini, S. (2021). History of Bio-microelectromechanical Systems (BioMEMS). In: BioMEMS. Lecture Notes in Bioengineering. Springer, Singapore. DOI ↗
Hosseini, S., Espinosa-Hernandez, M., Garcia-Ramirez, R., et al. (2020). BioMEMS: Biosensing Applications. Springer Nature (1st ed., p. 178).