Summary
Yashwanth Madaka is a software development engineer based in Seattle with eight years of experience building scalable, cloud-native systems across finance and e-commerce. Currently at Amazon, he works on Selection & Catalog Systems where he combined LLM-based attribute extraction and prompt fine-tuning with high-performance similarity search (Faiss) to improve catalog classification and query efficiency. He has a strong background in distributed microservices and streaming at MarketAxess, processing 500M+ messages/day using Kafka, KStreams and Kubernetes, and earlier built resilient payment APIs and CI/CD pipelines at Bank of America. Comfortable across Java, AWS, Kubernetes, and ML-assisted workflows, he pairs research experience from Stony Brook with pragmatic production impact—e.g., an auto-redrive tool that cut on-call tickets by 30%. His cross-disciplinary roots include blockchain prototyping and UI/UX freelance work, reflecting a habit of blending systems-level engineering with product-minded design.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Vellore Institute of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
English, Telugu, Hindi