akshay arora
@akshayarora2
I build AI-native distributed systems for fintech, e-commerce, and automation.
IndiaWhat I'm looking for
At Payoneer, I’m building Payo Wallet Chat, a production AI assistant for wallet onboarding using Go, AWS Bedrock, Claude, MCP servers, Langfuse, and CloudWatch. I also engineer AI-led SDLC automation and developer-context tooling that reduce manual effort while maintaining guardrails and compliance.
Previously at Amazon, I built services that reduced High Non-Return losses by about 25%, cut invoice retrieval effort by 20%, and supported payroll calculations for 700,000+ employees with 99.999% accuracy. I’ve delivered high-throughput Java, Go, and Node.js systems across AWS, spanning finance automation, cost reduction, and global e-commerce operations.
Experience
Work history, roles, and key accomplishments
Built Payo Wallet Chat, a production AI assistant for customer onboarding, architected in Go with AWS Bedrock and MCP servers. Engineered AI-led SDLC automation and internal CLI work tracker to accelerate delivery cycles.
Designed and built Account Linkage Service combining KYC data, graph matching, and facial recognition, reducing HNR losses by ~25%. Built LLM-powered invoice ingestion agent and led platform scaling to handle 10,000+ operations per second.
Developed payroll compute units using Java, AWS Lambda, and Step Functions ensuring compliance for 700,000+ employees globally with 99.999% accuracy. Implemented IaaS for TimePay storage service and built automated site-launch system saving 60+ hours monthly.
Built React.js web app for automated UI questionnaire rendering for policy data collection. Optimized click-handler latency from 150ms to 17ms through improved React state management.
Software Development Intern
Airtel XLabs
Jun 2021 - Aug 2021 (2 months)
Implemented authentication and authorization modules for Airtel Atlas app using Spring Security and JWT. Built video streaming module in Core Java for rendering video over mobile applications.
Education
Degrees, certifications, and relevant coursework
Delhi Technological University
B.Tech, Computer Science & Engineering
2018 - 2022
Grade: 8.70/10
Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a GPA of 8.70/10. Coursework included Computer Architecture, Advanced DBMS, Computational Theory, and Data Structures & Algorithms.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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