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Yeshwant KasaYK
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Yeshwant Kasa

@yeshwantkasa

I build high-volume fintech, cloud, and AI systems that improve performance and operational reliability.

United States
Message

At Intuit, I build distributed fintech microservices and AI-powered financial products that process real-time payment, billing, and subscription events at scale. I’ve improved transaction throughput by 35%, reduced API latency from 420 ms to 180 ms, and built RAG and agentic AI workflows that reduced finance-team manual review by 45%.

Previously at Razorpay, I developed payment services processing 3–5 million daily transactions, merchant analytics dashboards, and Kafka event pipelines for high-volume payment workflows. I bring hands-on experience across Java, Spring Boot, Python, React, AWS, Kubernetes, and applied ML, alongside research experience building real-time wearable biomarker-monitoring prototypes at Purdue.

Experience

Work history, roles, and key accomplishments

Intuit logoIN
Current

Software Engineer

Oct 2024 - Present (1 year 11 months)

Architected distributed fintech microservices using Java, Spring Boot, Kafka, and AWS to process real-time payment events, improving throughput by 35%. Built RAG and Agentic AI solutions, optimized PostgreSQL and Redis, and enhanced observability and CI/CD.

Education

Degrees, certifications, and relevant coursework

Purdue University logoPU

Purdue University

Master of Science, Computer and Information Science

Master of Science in Computer and Information Science from Purdue University, expected completion in May 2025.

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