I bridge nearly 20 years of deep vertical domain expertise in real estate appraisal with a formal Computer Science foundation. I specialize in communicating with stakeholders and teams, writing the code, scraping data, building API connections, and deploying cross-functional internal tooling that powers team workflows and drives business decisions.

• Languages & Frameworks: Python, SQL, JavaScript, TypeScript, React (Foundational), Retool, Playwright, D3
• Development Workflows: AI-native accelerated development (LLM-augmented query building, code generation, rapid script debugging, UI design and testing)
• Data Ingestion & Extraction: Production-grade web-scraping frameworks, automated data pulls, and direct API integrations
• Analytics & Diagnostics: Historical time-series trend analysis, operational inefficiency tracking, and statistical validation (R-squared, p-values)
• Version Control: Active Git lifecycle management (highest commit volume contributor in core team repository)

• Full-Stack Internal Tooling: Designing and building custom internal application features and data-driven interfaces used across the team to standardize workflows.
• Workflow & Operational Automation: Eliminating dependency on external contract layers and product management by engineering end-to-end automation solutions.
• Team Technical Upskilling: Spearheading internal training to elevate data literacy and guide compliant generative AI tool adoption among domain specialists.
• Domain-to-Code Translation: Providing lossless translation between real estate valuation logic and practical software requirements.

Focus Areas: Expanding core software engineering capabilities, engineering shared internal tooling, and automating analytical workflows. Actively scaling scientific foundation in advancing statistics skillset, strengthening deep learning concepts, and engaging in continuous, non-stop learning through ongoing advanced coursework and specialized training platforms (DataCamp) to directly advance company operational goals.