Project Index

Portfolio

I build and improve AI, data, and analytical software that turns complex systems into tools people can actually use: from greenfield builds to hardening messy systems for real teams.

12 projects 6 domains 2014-2026

Best evidence for hiring decisions

Start with the work that best shows production judgment, platform delivery, and practical breadth. The full index is still available below when you need to inspect by stack.

Production AI applications AI-assisted systems, reporting workflows, and agent platforms brought close to real users. Platform and data systems Frameworks, deployment paths, data pipelines, and operational glue that made teams faster. Decision tooling Applications and models that translated messy system data into clearer decisions.

AI Applications

4 projects

AI applications, agent orchestration, and production reporting systems.

AI-Assisted Manufacturing Quality Reporting Application

Turned an AI-assisted reporting application from proof of concept into a stable production solution for quality assurance teams, while continuing to extend it through close stakeholder collaboration.

Role: AI Application Engineer
Time: 9 months

Python TypeScript Azure Databases & Storage Docker +1

Contact Optimization for Improved Customer Interactions

Built predictive models and recommendation logic to improve customer interaction strategies while refactoring an existing application for better maintainability and performance.

Role: Data Scientist
Time: 15 months

Python Machine Learning Databricks SQL

AI Agent Orchestration Platform

Led the technical development of a cloud-native platform for deploying and orchestrating AI agents that automate developer-facing workflows.

Role: Technical Lead
Time: 9 months

Python AWS Terraform Docker GitHub

Customer Engagement Optimization with ML Models

Built predictive machine learning models to prioritize customers for marketing campaigns, improving targeting decisions within business and regulatory constraints.

Role: Data Scientist
Time: 14 months

Python Machine Learning Databricks SQL Tableau

ML Platforms

2 projects

Frameworks, deployment tooling, monitoring, and developer experience.

In-House ML Deployment Framework Development

Developed and improved an internal Python framework used across departments to standardize the deployment and operation of business-critical machine learning applications.

Role: Software Developer
Time: 5 months

Python SQL Databricks CI/CD Pipelines Azure

In-House Framework for Machine Learning Deployment

Extended and improved an internal machine learning deployment framework while helping application teams use it effectively across development and deployment workflows.

Role: Software Developer
Time: 14 months

Python Docker SQL CI/CD Pipelines

Data Engineering

1 project

Pipelines, warehousing, and transformation systems for real source data.

Automated Data Pipeline Integration and Warehousing Solution

Led the greenfield development of a Python-based ingestion and data integration solution for Azure analytics workflows, turning complex source data into a reliable downstream pipeline.

Role: Data Engineer
Time: 25 months

Python SQL Terraform Azure CI/CD Pipelines

Analytical Applications

2 projects

Decision tools, dashboards, recommendations, and operational models.

Revenue Assurance Applications and Dashboard Development

Developed revenue-assurance applications and dashboards that supported SOX-compliant processes, workflow automation, and greater visibility into operational data.

Role: Application Developer
Time: 10 months

Python Databricks SQL CI/CD Pipelines Power BI

Replay Parser and Feature Extractor for Heroes of the Storm

Built a replay-parsing and feature-extraction tool for Heroes of the Storm to support professional gameplay analysis in collaboration with an esports league.

Role: Software Developer
Time: 5 months

Python SQL

Cloud & DevOps

1 project

Operational hardening, migration, monitoring, and delivery infrastructure.

Development and Migration of System-Critical Analytical Applications

Operated, improved, and helped migrate more than 150 business-critical analytical applications from on-premises infrastructure to Azure.

Role: DevOps Engineer
Time: 14 months

Python Bash Linux Docker CI/CD Pipelines +4

Scientific Tooling

2 projects

Scientific tooling for simulation analysis and reproducible workflows.

Yet Another Trajectory Interface (YetI)

Built YetI from scratch as a focused Python 3 successor to NucleoSim for feature engineering and large-scale biomolecular simulation analysis.

Role: Software Developer
Time: 27 months

Python CI/CD Pipelines

NucleoSim

Built NucleoSim as a Python 2.7 tool for feature engineering and visualization in biomolecular simulation analysis before its growing scope led to the more focused YetI rewrite.

Role: Software Developer
Time: 49 months

Python CI/CD Pipelines

Best evidence for hiring decisions

Project evidence by domain

AI-Assisted Manufacturing Quality Reporting Application

Contact Optimization for Improved Customer Interactions

AI Agent Orchestration Platform

Customer Engagement Optimization with ML Models

In-House ML Deployment Framework Development

In-House Framework for Machine Learning Deployment

Automated Data Pipeline Integration and Warehousing Solution

Revenue Assurance Applications and Dashboard Development

Replay Parser and Feature Extractor for Heroes of the Storm

Development and Migration of System-Critical Analytical Applications

Yet Another Trajectory Interface (YetI)

NucleoSim

No projects found