Prathamesh Kanbaskar
@prathameshkanbaskar
Software Development Engineer at Amazon specializing in distributed systems, enterprise billing, and AI-powered developer tools.
IndiaWhat I'm looking for
I’m a Software Engineer at Amazon with 3 years of experience building distributed systems and enterprise-scale platforms, including an automated enterprise billing platform that processes individual financial events at up to 100 TPS. I lead architecture and delivery of event-driven workflows for complex transaction lifecycles—confirmations, cancellations, modifications, reconciliation, and accounting bookings—using AWS Lambda, DynamoDB, SNS, S3, and Kinesis.
I also build developer- and operations-focused AI capabilities, including a productionized internal MCP (Model Context Protocol) server and an AI-powered developer platform on Amazon Bedrock with vector search and RAG pipelines. From self-service onboarding workflows that reduced onboarding effort by 80% to zero-downtime cloud migrations, I focus on reliability, scalability, and resilient failure handling—backed by published research in reinforcement learning and robotics.
Experience
Work history, roles, and key accomplishments
Led architecture and implementation of a real-time transactional enterprise billing platform processing up to 100 TPS, enabling automated billing workflows. Designed event-driven distributed systems on AWS and built an AI-powered developer platform using Amazon Bedrock and RAG, reducing onboarding operational effort by 80% and onboarding time from 5 hours to 30 minutes.
Worked on fraud detection systems for Amazon Retail in the United Risk Evaluation Systems team. Migrated precomputed order velocity variables used in ML-powered risk evaluation pipelines using Java and Python.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Guwahati
Bachelor of Technology, Mechanical Engineering (Minor in Mathematics)
2019 - 2023
Grade: 8.33/10
Pursued a B.Tech in Mechanical Engineering with a minor in Mathematics, graduating in 2023. CGPA: 8.33/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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