Software developer with ten years of professional experience spanning full-stack engineering, data analysis, business development, and technical support. Combines strong engineering skills with real-world business acumen to deliver production analytics platforms, data pipelines, and business intelligence systems that drive measurable outcomes. Proven track record of owning projects end-to-end and shipping production systems that solve real business problems.
Full-stack analytics platform built from scratch for executive stakeholders. Python/Flask backend, React frontend, PostgreSQL database, and ML forecasting models with production Azure deployment. Includes CI/CD pipelines, automated testing, and role-based access control. Replaced expensive third-party systems.
Market intelligence platform with geospatial mapping via PostGIS, automated data pipelines, and verified contact enrichment. Full project ownership from initial scoping and architecture through production deployment and ongoing operations. Expanded across the organization after initial launch.
Automated ETL pipelines integrating ERP and financial systems via RESTful APIs. Replaced manual reporting workflows with near-real-time data delivery. ML models for sales forecasting, churn scoring, and anomaly detection using XGBoost, Isolation Forest, and Random Forest. Built with error handling and automated monitoring.
Enterprise B2B sales background working directly with executive stakeholders across strategic accounts. Brings firsthand understanding of how engineering work connects to business outcomes, stakeholder needs, and go-to-market strategy. Builds software with the end user and decision-maker in mind.
Production-tested technologies for building data platforms, analytics dashboards, AI integrations, and enterprise applications. Currently focused on data engineering, business intelligence, and AI agent systems.
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 LLM router supporting 35+ models from 6 providers with real-time streaming via Server-Sent Events, structured output via tool calling, conversation history, code highlighting, and privacy-first local storage.
Autonomous AI agent system running 24/7 on a home server with 40+ integrated tools, multi-provider LLM routing across 6 providers, RAG retrieval, voice input, streaming, eval framework, and 2,000+ automated tests. Built for personal productivity automation with research, monitoring, and memory capabilities.