• Building cloud-native services on GCP to support scalable merchant integration and commerce capabilities.

• Contributing to the design and deployment of distributed backend systems handling high-throughput workflows.

• Driving improvements in reliability, observability, and performance across cloud infrastructure.

• Partnering with senior engineers to ship secure, scalable solutions used by global merchants.

Grader for the course:

CSE 360 (Intro to Software Engineering)

• Built an LLM-powered merchant insights chatbot delivering natural language answers up to 17× faster than Kibana, cutting query time from 6 minutes to 22 seconds for 1M+ records and improving decision-making efficiency.

• Built a 2-stage LLM pipeline converting questions to SQL for BigQuery, then using another LLM to deliver clear, contextual responses.

• Benchmarked 7 LLMs (15 parameters) and added error handling for 5xx/non-2xx responses, achieving 99.9% production uptime.

Developed and optimized machine learning models for treatment recommendations.

Collaborated with psychologists and engineers to preprocess data, train models, and evaluate performance.

Designed and implemented an intelligent chatbot to assist with patient queries and support.

Integrated natural language processing (NLP) techniques to improve chatbot understanding and response accuracy.

Conducted user testing and iterated on chatbot features based on feedback.

Spearheaded a community of passionate students, driving innovation with Google's technologies.

Organized workshops, hackathons, and speaker sessions to foster collaborative learning.

Coordinated with industry professionals to provide mentorship and real-world insights.

Grew the club's membership and impact, facilitating numerous technical projects and initiatives.