Akshay Kabra

Senior Software Engineer

Seattle, Washington, United States10 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led development of AI-driven HR tools at Amazon.
Created real-time database performance monitoring solutions.
Expert in Generative AI and relational database systems.

Stackforce AI infers this person is a SaaS expert with a strong focus on AI and database technologies.

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Skills

Core Skills

Generative AiModel Context Protocol (mcp)Relational DatabasesAws Lambda

Other Skills

AI powered chatbotsAgentic AIAlgorithmsAmazon ECSCC++CSSCloudwatch database insightsCore JavaData StructuresDesign PatternsEclipseHTMLHTML5Intent detection and orchestration

About

SDE2 at Amazon India, former developer at DE Shaw & Co. Graduation: NIT Jaipur Interests : reading books, Competitive Coding, exploring documentaries

Experience

10 yrs 2 mos

Total Experience

3 yrs

Average Tenure

1 yr 1 mo

Current Experience

Amazon

Senior Software Engineer

Apr 2025 – Present · 1 yr 1 mo · Seattle, Washington, United States · On-site

PXT – HRX (Apr 2025 – Present)
Currently, I’m working in the People Experience Technology (PXT) organization, where I lead engineering efforts in the generative AI space. Our focus is on delivering innovative AI-driven tools that enhance the experience of HR teams and managers at Amazon.
One of our key accomplishments has been building a custom HR chatbot tailored for Amazon’s HR staff and managers. This chatbot is equipped with essential tools and connected to a curated knowledge base, enabling HR teams to access the information they need quickly and accurately in their daily work.
We built this system using the Model Context Protocol (MCP) framework, developing specialized tools for targeted tasks and integrating them through an intent-detection orchestrator powered by Vercel’s AI SDK.
Key learnings and contributions in this role include:
Designing agentic AI systems on distributed, serverless architectures (AWS Lambda and AWS ECS).
Gaining deep expertise in MCP authentication and HTTP streaming capabilities.
Building both AI agents and MCP tools, while analyzing their differences and comparing performance.
Implementing multiple latency optimization strategies (such as caching, minimizing Lambda cold starts, and prioritizing tool execution), successfully reducing end-to-end response time to the first token to just 7 seconds.
Developing detailed prompting techniques for both orchestrators and individual tools, with structured, task-optimized responses that improved reliability and performance.

Generative AIModel context protocol (MCP)Intent detection and orchestrationAI powered chatbotsStreaming APIsserverless mcp tools+2

Amazon web services (aws)

2 roles

Senior Software Engineer

Dec 2024 – Mar 2025 · 3 mos · Seattle, Washington, United States

AWS – RDS (Apr 2022 – Mar 2025)
During my time in the AWS Relational Database Service (RDS) organization, I focused on building performance monitoring solutions and developing intelligent recommendations to support one of the largest-scale systems within AWS.
A key project I led was the development of the RDS Recommendations Engine, designed to provide real-time proactive and reactive guidance based on factors such as database configurations, traffic patterns, and security needs. These recommendations were also integrated into AWS Trusted Advisor, ensuring greater accessibility and impact for customers.
Another major initiative I worked on was a lock detection system for RDS Aurora. This system provided customers with detailed visibility into query locking behavior—highlighting which queries caused locks, their duration, and the resulting impact on other workloads. It also detected locking anomalies and surfaced them in near real-time through the CloudWatch Database Insights portal, helping customers optimize database performance more effectively.

Relational DatabasesAWS LambdaAmazon ECSCloudwatch database insightsRDS performance monitoringQuery lock detection and analysis

SDEII

Jun 2022 – Nov 2024 · 2 yrs 5 mos · Seattle, Washington, United States

Amazon

SDEII

Apr 2018 – May 2022 · 4 yrs 1 mo · Hyderabad Area, India

Gained Experience working on high throughput low latency distributed data streaming and processing platform. Working on a platform team helped me understand the technical challenges to scale a platform for millions of TPS, ensure strict tenant isolation and availability issues.
Prior to this, I have worked in a business org (Amazon Transportation) where I learned building end customer centric tools. This taught me how to actually solve a real life human problem through technology and how to grow and deliver in strict deliverable environment.