Built production GenAI workflows supporting recruiting, human resources, and operational decision-making processes. Designed LLM systems integrating APIs, structured data, business rules, and multi-step tool execution. Evaluated AI outputs for accuracy, reasoning quality, usefulness, instruction following, and operational reliability. Created prompts, evaluation criteria, test cases, and feedback cycles improving model behavior.

Led full-stack delivery of custom platforms, CRM systems, and business workflow applications. Designed Python services, APIs, database models, and integrations using FastAPI and Django. Managed product delivery from requirements and prototypes through cloud deployment and production support. Established sprint planning, engineering standards, client communication, and technical execution across teams.

Evaluated and ranked LLM outputs across coding, reasoning, usefulness, and instruction-following criteria. Reviewed generated Python, JavaScript, SQL, PHP, and C++ solutions for technical correctness. Produced structured model feedback supporting RLHF-style evaluation and iterative quality improvement workflows.

Built CompoX, converting natural-language prompts into editable HTML, CSS, and JavaScript components. Created a proprietary Webflow component dataset using Selenium automation and reverse engineering. Integrated semantic search, embeddings, LLM generation, Flask APIs, and cloud deployment workflows.

Validated NLP-powered e-commerce search results across thousands of queries and language-processing scenarios. Documented relevance defects, backend inconsistencies, regression issues, and reproducible quality findings.

Deployed and supported electronic health record systems across mental healthcare institutions. Managed infrastructure incidents, user permissions, technical documentation, and sensitive business systems.