Pratyush Varshney
Software Development Engineer @Amazon
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WORK HISTORY
Software Development Engineer @Amazon
London, GB
Contributed to the core ingestion engine for Prime Video\'s log aggregation platform, responsible for processing over 10s of petabytes of data daily. Implemented runtime updatability for the Ingestion Core engine, resulting in a significant reduction in deployment time from weeks to minutes.* Built automated evaluation framework for the GenAI observability tool, measuring quality improvements on every code commit* Designed and deployed GenAI text-to-SQL engine with schema-aware context handling for tables.* Architected and executed the live migration of telemetry pipelines for 300+ services to a new distributed control plane, ensuring minimal downtime and data consistency.
EDUCATION
Kamla Nehru Institute of Technology, Sultanpur
Bachelor of Technology (B.Tech.), Computer Engineering
Indian Institute of Technology, Kanpur
Master of Science - MS, Computer Science
SKILLS
ABOUT PRATYUSH VARSHNEY
I’m a Software Engineer with 10+ years of experience building and scaling distributed systems and AI-driven platforms at Amazon Prime Video, Microsoft, and Adobe.At Prime Video, I’ve led initiatives to enhance platform reliability, observability, and developer experience for large-scale video delivery systems. I’ve also built AI-assisted tools that improve incident response and operational efficiency, combining my background in backend engineering with applied machine learning.My experience spans high-performance backend systems, cloud-native architectures (AWS), and applied machine learning, with a passion for designing resilient, efficient, and intelligent software that operates at global scale.I hold a Master’s in Computer Science from IIT Kanpur, where my research focused on machine learning, robotics, and formal verification.I enjoy solving complex distributed systems challenges, mentoring engineers, and working on technology that impacts millions of users.Specialties: Large-scale distributed systems · Backend architecture · AWS · Java/Python/Node.js · AI/ML integration · Resilience and Observability · System Design · Leadership in high-scale environments
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