Built a full-stack Chrome Extension ecosystem supported by a containerized backend, reproducible workflows, and automated data pipelines. Designed deterministic testing, SQLAlchemy-based schema versioning, and Linux/Bash-driven developer workflows to ensure consistency across environments. Integrated BigQuery analytics with LangGraph and LangSmith to generate persona insights and guide product decisions. Delivered a reliable, well-documented system used for behavior analysis, debugging, and iterative UX improvements.

Developed an AI-powered story management and SEO automation platform combining RAG pipelines, LangGraph orchestration, and dynamic content generation. Enhanced the Next.js/React frontend while building backend workflows that analyze narrative patterns, ensure character consistency, and generate structured creative outputs. Integrated Google Trends and Perplexity APIs to produce adaptive SEO layouts, containerized with Docker for reproducibility. Strengthened CI/CD reliability and authored clear documentation for system architecture, data flows, and deployment procedures.

Developed a multi-process AWS pipeline for energy modeling and optimization, focusing on reproducibility, scalability, and deterministic results. Built data ingestion and validation systems that enforced parameter correctness and ensured consistent multi-step analysis workflows. Automated backend processing for simulations, created modular visualization tools, and containerized the entire pipeline with Docker to guarantee reproducible environments across AWS instances. Authored detailed documentation covering workflows, testing procedures, and expected outputs to support research teams and long-term maintenance.