Aishwary Anand

I’m a final-year Computer Science undergraduate who builds scalable Large Language Model (LLM) systems and AI automation pipelines that work in production. I combine strong fundamentals in Data Structures and Algorithms with practical Software Engineering to deliver measurable improvements.

At Rakuten, I built and deployed an AI-powered QA agent that automated end-to-end test validation workflows, reducing manual testing effort by 50%+ across 3 product teams. I also designed LLM-based evaluation pipelines for automated test case generation and scoring, improving test coverage by 40% and cutting review cycles by 2x.

I engineered PRD Buddy, an AI engine that generates Epic and User Story outputs from product specifications using a Feature-Driven Development approach. I further implemented multi-modal validation logic using input connectors for Git repositories, Swagger/OpenAPI documentation, and existing test cases.

Earlier at Kashylitics, I engineered scalable LLM evaluation pipeline components, accelerating model experimentation cycles by 35%. I also automated Python-based test generation and scoring and optimized preprocessing to reduce processing time by 25% on large-scale datasets.