Ricardo García Ramírez

AI/ML · Data Science · Cloud · Full-Stack

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rgr.5882@gmail.comricardogr07ricardogarciaramirez

Summary

Full-stack developer and data scientist with 7+ years of experience at the intersection of backend systems, cloud infrastructure, and applied AI/ML. I build production systems: backend services and APIs in Python and C#/.NET, data pipelines from raw files to queryable analytics assets, and RAG systems from the vector-chunking layer through LLM orchestration. M.Sc. in Data Science with thesis work in Bayesian inference and computational modeling.

Experience

Aggregation Services Senior DeveloperMSCI
Sep 2023 – Present
  • Build and maintain Python-based backend services, APIs, data pipelines, analytics tooling, and operational workflows for large-scale financial data systems, including 3rd-tier production support.
  • Contributed to cross-team initiatives with ~$1M in business impact.
  • Designed observability and monitoring solutions using Splunk, Power BI, and Azure DevOps data surfacing throughput, failure rate, and latency trends across production systems, enabling data-driven incident response and capacity planning.
  • Introduced AI-assisted development workflows (Claude Code, Cursor, Copilot) for refactoring, test generation, and documentation, accelerating the Java modernization initiative.
  • Lead Java modernization and technical debt reduction: refactoring legacy services for upgrade-readiness while preserving behavior, testability, and release stability.
Software Developer IIRackspace Technology
Aug 2022 – Sep 2023
  • Built internal and customer-facing APIs, enterprise services, and Azure-based serverless applications in C#, .NET, and Azure Functions.
  • Owned technical design for new features: scoping, architecture decisions, proof-of-concept work, and delivery through production.
  • Implemented unit and acceptance test suites, Jenkins CI/CD pipelines, deployment automation, and production monitoring and telemetry tooling.
.NET Middle Software EngineerParallel Staff / Softeq
Jan 2022 – Aug 2022
  • Built backend services and desktop automation tooling in C#, .NET Core, and .NET Framework.
  • Contributed to requirements analysis, test scenario coverage, workflow documentation, and code reviews.
Hardware and Software Development SpecialistDelee Corp
Feb 2020 – Dec 2021
  • Built C#/.NET backend services and WPF/XAML MVVM desktop applications for laboratory automation and biomedical device control.
  • Programmed microcontrollers in C to drive microfluidic devices and automate microscope control for cell imaging and blood sample analysis.
  • Automated assay workflows for blood sample processing: cell counting, imaging pipelines, and data acquisition from laboratory instrumentation.
  • Developed Python tooling to bridge hardware instrumentation output with desktop reporting and analysis workflows.

Education

M.Sc. in Data SciencePontificia Universidad Católica de Chile
Santiago, Chile

Graduated with Distinction.

B.Sc. in Biomedical EngineeringTecnológico de Monterrey (ITESM)
Monterrey, Mexico

Minor in Biomedical Microtechnology. Academic Excellence Award, Top 5% GPA.

Teaching

Adjunct Assistant Professor, Biomedical Engineering Dept.Tecnológico de Monterrey (ITESM)
Aug 2022 – Dec 2023

Bioinstrumentation courses (TEC20/TEC21): BI2001B, BI2005B, BI3010, BI3011, BI3014.

Skills

Programming Languages

Python, C#, Java, TypeScript, SQL, Bash, C

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, FastMCP, scikit-learn, JAX

Scientific

NumPy, PyVista, Bayesian Optimization

Tooling

GitHub Actions, Azure DevOps, PyPI, Next.js

Languages

Spanish (Native) · English (Full Professional: TOEFL iBT 109 / ITP 653)

Publications

[1]

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 ↗

[2]

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 ↗

[3]

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 ↗

[4]

Garcia-Ramirez, R., & Hosseini, S. (2021). History of Bio-microelectromechanical Systems (BioMEMS). In: BioMEMS. Lecture Notes in Bioengineering. Springer, Singapore. DOI ↗

[5]

Hosseini, S., Espinosa-Hernandez, M., Garcia-Ramirez, R., et al. (2020). BioMEMS: Biosensing Applications. Springer Nature (1st ed., 178 pp.).