Developed, optimized, and maintained agentic AI pipelines for automation and workflow intelligence. Designed efficient prototypes and tested model behavior across complex scenarios.
- Conducted experiments in prompt engineering, context tuning, and model orchestration to improve model performance.
- Utilized vector databases and retrieval-augmented generation frameworks for improved contextual intelligence.
- Collaborated with engineering and product teams on AI system integration into operational workflows, enhancing workflow efficiency.
- Refined models continuously through experimentation, data feedback, and iterative development.
- Possessed strong foundation in Python, LLMs, and agentic architectures.
- Transformed uncertainty into functional systems through a pragmatic and curious approach to problem-solving.
- Conducted research on emerging AI technologies and their applications.
- Tested AI models on various datasets to evaluate performance and optimize results.