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Ayush RajAR
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Ayush Raj

@ayushraj4

Backend software engineer building large-scale, real-time cloud and AI systems.

India
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What I'm looking for

I’m looking for a team where I can build backend and event-driven cloud systems end to end, with real ownership (design, on-call, delivery). I want to apply LLM/RAG to production products across multi-cloud environments and move fast without sacrificing reliability.

I’m a Backend Software Engineer building large-scale, real-time cloud systems. I specialize in Java/Python microservices and event-driven pipelines, and I own integrations end to end—from design and on-call to delivery—so teams can ship reliable, high-throughput services.

At Alexa AI, I engineered a Java semantic caching + rule-matching module that cut p90 response latency by 1.3s while lowering GPU inference cost, and I built a multi-tenant, petabyte-scale orchestration platform on EMR Serverless (AWS CDK, Step Functions, SQS) enabling 125+ teams to provision ETL and ML evaluation workspaces. I also productionized a multi-model AI voice assistant that reduced manual ticket triage by 90% and implemented a petabyte-scale Apache Iceberg lakehouse with a fault-tolerant deletion engine sustaining multi-region availability while processing 50M+ compliance requests per month.

Experience

Work history, roles, and key accomplishments

AT

Software Engineer Intern

Aware Healthcare Technologies

Dec 2023 - Jan 2024 (1 month)

Built full-stack features for a 100k+ user health application using Java, Postgres, and Flutter, including telemetry-driven fitness tracking and an AI heart-score module. Integrated REST APIs for health data syncing and implemented an automated document extraction pipeline with AWS Textract.

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science, Pilani logoBP

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (B.E.), Electronics & Communication Engineering

2020 - 2024

B.E. in Electronics & Communication Engineering with a minor in Computer Science & Intelligence, completed from 2020 to 2024.

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