Software engineer and data professional who builds production analytics platforms, automated data pipelines, and actionable business intelligence. Experienced across the full stack from database architecture and ETL design to interactive dashboards and cloud deployment.
Full-stack engineer with production experience across the entire stack: Python backends, React frontends, PostgreSQL databases, ML models, and cloud-deployed infrastructure. Builds complete platforms from architecture through deployment, not just features on existing systems.
Experienced across the full development lifecycle including platform architecture, ETL pipeline engineering, ML integration, and DevOps. Strong technical foundation paired with business experience that enables effective communication with both engineering teams and executive stakeholders.
Production experience across platform engineering, data infrastructure, analytics, and enterprise business. Building systems that solve real problems for technical and non-technical stakeholders.
Full-stack analytics platform built from scratch. Python/Flask backend, React frontend, PostgreSQL database, ML forecasting models, and production Azure deployment with CI/CD and role-based access control.
Market intelligence platform tracking global data center facilities with geospatial mapping, automated data pipelines, verified contact enrichment, and strategic analysis for enterprise leadership.
Automated ETL pipelines integrating multiple data sources via REST APIs, with ML forecasting models (XGBoost, Random Forest, scikit-learn) for business analytics and predictive intelligence.
Years of enterprise B2B experience across technical product lines. Understands how engineering work connects to business outcomes, stakeholder needs, and go-to-market strategy.
Production-tested technologies for building data platforms, cloud infrastructure, AI integrations, and enterprise applications. Currently focused on data infrastructure, analytics platforms, and intelligent automation.
Full-stack analytics dashboard demonstrating enterprise BI capabilities with real-time data visualization, ML-powered forecasting, and comprehensive business metrics across revenue, customers, operations, and pipeline management.
Open-source multi-model AI chat interface supporting 35+ models from OpenAI, Anthropic, Google, xAI, DeepSeek, and Groq. Features real-time streaming, conversation history, code highlighting, dark/light themes, and privacy-first local API key storage.
Always happy to connect with others in the data infrastructure, analytics, and engineering space. Reach out if you want to:
Interested in working together on something interesting? Always happy to explore.