Design and develop 500+ diverse coding prompts and solutions across multiple languages and frameworks (Python, JavaScript, TypeScript, Rust, Java, React, Next.js) to enhance AI large language model performance on complex software engineering tasks.

Evaluate and review AI-generated code submissions for correctness, efficiency, and adherence to best practices, and as appropriate modify and correct.

Build and evaluate applications incorporating RESTful APIs (Express, Flask) and databases (PostgreSQL, MySQL, SQLite, MongoDB) as training examples for backend development workflows.

Trusted to deliver high quality coding solutions for complicated development projects meeting strict deadlines.

Collaborate with a distributed software engineering team using Git and GitHub for version control, Docker for environment standardization, and Slack for ideation and problem solving.

Audit code built by other developers for compliance to quality standards and requirements, offering feedback or making direct corrections.

Performed assessments on residential real estate properties to derive a comparable market valuation for banks, lending institutions and appraisal companies.

Developed a software application to automate the extraction of property information from numerous databases and compile into standardized reports to improve efficiency.