• Designed and built production LLM systems for a Fortune 500 telecommunications client, supporting document understanding and context-aware, multi-turn conversational workflows.

• Built AI architectures combining language models, retrieval, internal tools, and structured data services, leveraging frameworks such as LangGraph and Google ADK for agent orchestration and workflow design.

• Transitioned from LangGraph to Google ADK to improve development velocity and simplify workflow iteration in production environments.

• Drove performance optimization across AI systems with strong attention to latency, token efficiency, reliability, and operational quality.

• Developed AI-assisted decision-support workflows to enhance pharmaceutical sales strategies.

• Explored new data sources and engineered features for an explainable ML pipeline using SHAP.

• Conducted experiments on recommendation strategies to optimize lead insights for sales teams.

• Analyzed territory-level sales data to generate actionable business insights for targeting decisions.

• Developed and maintained internal full-stack applications to enhance enterprise workflows.

• Collaborated with stakeholders to deliver reliable tools for internal users, focusing on user needs.

• Worked in an Agile/Scrum environment to ensure iterative delivery and continuous improvement.

• Contributed to the development of customer-facing web applications at Kunvet, a dynamic startup in Irvine, California.

• Built and maintained frontend features using JavaScript and modern frameworks to enhance user experience.

• Supported A/B testing and experimentation to inform product decisions and optimize interaction flows.