I am a Software Engineer who bridges 0-to-1 product velocity with enterprise-grade backend rigor. I specialize in architecting highly resilient backend APIs and data federation layers, as well as building and shipping full-stack, production AI applications. Whether I'm unifying complex legacy systems or optimizing machine learning models for resource-constrained environments, I focus on engineering robust solutions that solve real-world problems.

• 🏦 Capital One: Engineering highly regulated, high-throughput federation APIs using Go and GraphQL to abstract and unify fragmented legacy databases into a single, standardized schema.
• 🧠 Mindgrasp (Past): Acted as a founding-style engineer to build and ship an end-to-end RAG/AI application. Integrated LLMs using Python, React, and Next.js to automate data extraction from unstructured sources, successfully scaling the feature to over 40,000 active users.
• 🔬 Team DOC (Medical AI Research): Led a software team at the University of Maryland to build a lung cancer diagnostic tool. Taught myself PyTorch model quantization and 3D CNN optimization to successfully run massive CT scans on standard clinic laptops, achieving an 89.4% accuracy rate.
• 🎓 Education: B.S. in Computer Science from the University of Maryland.

• 🌍 I am based in the Washington D.C. Metro Area (Falls Church, VA)
• ✉️ You can contact me at yaragudi.ritvik@gmail.com
• 🧠 I am currently exploring advanced distributed systems and modern LLM orchestration.
• 🤝 I am open to collaborating on backend architecture (Go/Python) and full-stack AI products.