I am building an AI-driven platform designed to help executives gain practical business insights. The platform allows executives to describe their problems through a chat interface, and based on their input, it suggests advisors or AI agents trained to handle specific issues. These agents analyze queries and provide solutions or recommendations to assist in problem-solving.

I designed and developed the backend, integrating LLMs, vector embeddings, and AI agents to enable personalized advice and accurate query matching.

In addition to backend development, I am managing the overall system design and DevOps. This includes making decisions on deployment strategies, selecting appropriate AWS services, and choosing backend technologies to ensure scalability and performance. I also implemented Stripe integration to handle payments within the platform.

I worked as part of the Payments team at Amazon, providing internal technical support for Tier-1 services critical to the payment ecosystem. My responsibilities included managing CI/CD pipelines, automating workflows, and developing tools to reduce operational overhead.

I contributed to the Prime Day 2024 peak readiness program, ensuring all microservices owned by my team were prepared for high traffic. During the event, I monitored one of Amazon’s most critical payment systems, ensuring stability under peak load.

I also resolved a long-standing bug in a legacy system that caused order failures and financial accounting errors. This issue, which impacted millions of dollars, required coordination with multiple teams to implement a fix ahead of Prime Day, preventing further disruptions and reducing manual recovery efforts.

Worked as a backend engineer on a platform connecting freelancers and companies with clients based on project history, feedback, and skill sets.

I designed and implemented systems for matching clients with suitable developers or companies for job postings, ensuring efficient and accurate pairing.

I worked with AWS org of Amazon, where I was working in Amazon’s Just Walk Store technology team. Our team was responsible for bringing every nuts and bots together to launch a new JWO store.

There I developed an automation tool using Python, Boto3, and AWS CLI that reduced the weekly team effort by 60% through automation of AWS CFN stack creation/modifications, changeset execution, managing Route 53 entries, Lambda role additions, and dynamic markup table creation.

I also created a centralized dashboard to monitor 60+ microservices which each JWO store depended on, along with their dependencies, boosting team efficiency by 35% by preventing unnecessary configuration attempts.