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Akshay Borse

@akshayborse

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I build large-scale platforms, distributed systems, and AI-powered products with measurable business impact.

United States

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At Microsoft, I built the historical risk foundation for AI Agent Risk Detection, enabling day-one evaluation for 237K+ agents across 13K organizations. I drove architecture and launch for AI-agent Adaptive Protection across Purview IRM, Entra, DLP, and Conditional Access.

At Amazon, I built a 0→1 developer platform for 60+ microservices, reducing service setup from two weeks to under an hour. I also led a 100K+ TPS monolith-to-microservices transformation and delivered ML-powered fulfillment systems with $28M in annualized impact.

I build reliable systems across cloud platforms, distributed architecture, applied AI, and security. My work spans AI risk detection, RAG recommendations, LLM localization, observability, and developer tooling.

Experience

Work history, roles, and key accomplishments

Senior Software Engineer

Microsoft

Sep 2025 - Aug 2026 (11 months)

Built the historical risk foundation for AI Agent Risk Detection, reconstructing 90 days of activity across 40+ environments. Drove architecture across Purview IRM, Entra, and DLP for Microsoft's AI-agent Adaptive Protection pipeline.

AI Agents Architecture DLP Playwright AI assisted Testing

Software Engineer 2

Amazon

Aug 2019 - Aug 2025 (6 years)

Built a 0→1 developer platform for 60+ microservices, creating a one-click CDK-based workflow. Led a monolith-to-microservices transformation at 100K+ TPS, building and launching 15+ services.

CDK Microservices REST gRPC XGBoost Sagemaker RAG Bedrock LLM Docker Cloudwatch Observability CI CD Infrastructure as Code

Software Engineering Intern

Liquiron

Dec 2018 - Jan 2019 (1 month)

Migrated 2 backend services to serverless, modernizing authentication with OAuth 2.0/Passport.js and Firebase. Built the API layer for a single-page application, delivering 4 REST APIs and 10 frontend capabilities.

Serverless OAuth Passport.Js Firebase REST APIs

Software Engineer

Persistent Systems

Sep 2016 - Jul 2017 (10 months)

Built a real-time CNN classification system for images and video, achieving 87% accuracy across 7 sentiment categories. Modernized legacy web applications into a single-page architecture, improving response time 25%.

CNN Sentiment Analysis Web Development

Software Engineering Intern

Soft Corner

Jun 2015 - Jun 2016 (1 year)

Improved F2FS garbage-collection efficiency 15% through Linux kernel-level performance engineering, instrumenting filesystem behavior and benchmarking policies.

Linux Kernel Garbage Collection Performance Engineering Benchmarking