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Representative technical experience.

Selected examples of systems, workflows, and technical capabilities relevant to software, AI, data, cloud, and automation projects.

Large-scale data processing and machine learning pipeline modernization

Challenge

A production data workflow needed to process substantially larger volumes of records while improving reliability, observability, and maintainability.

Approach

Designed and optimized distributed data processing workflows using Spark-based processing, model tracking, production job configuration, and cloud-oriented deployment practices.

Outcome

Improved throughput, reliability, and operational visibility for production data and machine learning workflows.

Relevance

Directly relevant to agencies and organizations that need scalable data processing, reporting pipelines, analytics modernization, or ML-enabled operations.

Technologies

  • Python
  • PySpark
  • Databricks
  • Spark
  • MLflow
  • AWS
  • CI/CD
  • Monitoring

AI-enabled API services for operational workflows

Challenge

Teams needed practical ways to integrate AI-generated summaries, structured outputs, and automation into existing systems.

Approach

Built API-based AI services with cloud deployment patterns, model registry practices, observability, and guardrails for production usage.

Outcome

Enabled internal systems to access AI capabilities through reliable service interfaces.

Relevance

Relevant to document processing, permit review, customer support, internal knowledge tools, case management, and administrative automation.

Technologies

  • Python
  • AWS Lambda
  • API Gateway
  • MLflow
  • LLMs
  • Monitoring
  • Automated deployment

Operational forecasting, dashboards, and reporting workflows

Challenge

Operational teams needed better visibility into forecasts, trends, KPIs, and data-driven decision support.

Approach

Developed data pipelines, forecasting models, reporting structures, and dashboard-ready datasets to support recurring operational review.

Outcome

Improved access to operational insights and repeatable reporting.

Relevance

Relevant to agencies and businesses that need dashboards, status reporting, workflow tracking, KPI monitoring, and predictive analytics.

Technologies

  • Python
  • SQL
  • Databricks
  • Power BI-style reporting
  • REST APIs
  • Cloud storage
  • Scheduled workflows

Microsoft 365 workflow and project tracking modernization

Challenge

Teams often rely on spreadsheets, email threads, and manual status updates to manage projects and operational work.

Approach

Design Microsoft-native systems using Planner, Lists, Teams, SharePoint, Power Automate, Power BI, and Power Apps to create structured workflows, dashboards, and documentation.

Outcome

Creates repeatable, maintainable systems for task tracking, reporting, collaboration, and knowledge transfer.

Relevance

Relevant to government teams seeking low-code/no-code modernization within existing Microsoft 365 environments.

Technologies

  • Microsoft Planner
  • Lists
  • Teams
  • SharePoint
  • Power Automate
  • Power BI
  • Power Apps

The examples above are framed as representative technical experience. They illustrate capability and approach and are not presented as government past performance unless completed under a government contract.

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