Founded FlowState and led end-to-end product development, from concept and architecture to implementation.

Designed and implemented a state-driven interview engine by combining resume-derived topic selection with adaptive AI follow-up generation, enforcing bounded probing depth per topic to improve signal extraction across interviews.

Drove architectural decisions by prioritizing performance, scalability, and modularity by incorporating a Model View Controller(MVC) pattern and laying the groundwork for future SaaS expansion including authentication and persistent storage

Architected scalable Python and Node.js microservices to support end-to-end resume ingestion, Natural Language Processing(NLP), and AI script generation, improving performance and parsing accuracy across complex resume formats

Conducting after-school workshops at various schools and districts, dedicated to the personal growth of each student in my cohort, ensuring a positive, enriching, fun, and safe experience.

Instructing and managing my group of students, leveraging my subject-specific expertise and utilizing the Kodely curriculum.