Yash Rathore

Coordinated sprint planning, onboarding, code reviews, and technical documentation while partnering with product, frontend, and ML teams to scope and deliver features. Built multi-tenant FastAPI services with SQLModel/PostgreSQL schemas for projects, organizations, users, analytics, RBAC, API keys, quotas, and usage tracking. Implemented REST and proxy endpoints connecting external developers to internal ML services with JWT authentication, validation, rate limiting, and structured error handling. Integrated Next.js and MUI frontend flows for onboarding, analytics, API exploration, embeds, and authenticated workflows. Improved Cloud Run deployments using Docker and GitHub Actions CI/CD, debugging cross-service issues with logs, Postman, and integration tests. Delivered usage insights and developer features such as embeds, forum pagination, bookmarks, quotas, and rate-limit metadata. Wrote pytest tests for API behavior and failure cases.

Created and evaluated programming tasks in Java and Python by assessing generated code for reasoning, correctness, efficiency, readability, and edge cases. Ranked model responses, wrote scoring rationales, reproduced defects, and recommended fixes to improve training-data quality. Designed adversarial OCR, chart, and diagram evaluations, curated image datasets, and documented recurring multimodal model failure patterns.