I am a senior software engineer with extensive experience building data-intensive applications, ETL pipelines, APIs, and analytics platforms across healthcare, finance, automotive, research, and community technology settings.
I specialize in Python, FastAPI, SQL, and cloud-native engineering, with a strong focus on reliability analytics, data governance, and scalable backend systems. I have led technical work across enterprise environments and cross-functional teams, and I enjoy turning complex operational data into practical, measurable outcomes.
My background includes designing and optimizing APIs, modernizing legacy services, and building infrastructure on AWS and GCP. I have also implemented CI/CD pipelines, improved deployment velocity, and supported secure, compliant software delivery in regulated environments.
In addition to software engineering, I have deep experience in data science and machine learning, including predictive modeling, geospatial analysis, graph databases, and statistical analysis. I have used these skills to support research, business operations, and community-focused initiatives.
I have founded and led technical education efforts, mentored engineers, and worked closely with stakeholders to deliver solutions that are both technically sound and aligned with real-world needs. I value collaboration, clarity, and building systems that last.
I am open to opportunities where I can contribute as a senior or technical lead engineer, especially in roles involving backend development, data engineering, analytics, cloud infrastructure, and applied machine learning.
Build Python-based reliability analytics workflows and FastAPI services to assess infrastructure maintenance effectiveness. Develop ETL pipelines and endpoints integrating operational and network topology data, implement classification-based filtering logic, and design SQL queries for historical performance analysis.
Designed and implemented enterprise-scale ETL pipelines for financial systems. Optimized data workflows using SQL, Java, and Python, and partnered with cross-functional teams on data governance and regulatory compliance.
Led software design and development across multiple products, managing Python and TypeScript developers and data engineers. Built enterprise APIs with FastAPI, Flask, SQLAlchemy, and Pydantic, modernized cloud infrastructure on GCP, and established CI/CD pipelines with Docker, Terraform, and Tekton.
Engineered an analytics platform for agricultural science research, built predictive models, designed RESTful APIs, and deployed infrastructure on AWS. Implemented IAM policies and created interactive Plotly/Dash visualizations for researchers.
Founded and led a community technology education initiative, built a computer science curriculum, taught data science and machine learning, and delivered predictive modeling, geospatial analysis, and graph database solutions for community and nonprofit projects.
Developed mortgage processing applications using Java Spring, managed AWS infrastructure, and implemented automated deployment pipelines and testing frameworks that improved reliability and reduced production incidents.
Build Neo4j graph database solutions, develop predictive models, provide geospatial analysis, and create statistical analysis pipelines and publication-quality reports for small businesses and nonprofit clients.
B.S., Comparative Religion
Bachelor's degree in Comparative Religion.
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