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Milan UserMU
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Milan User

@milanpanda

Software engineer specializing in low-latency backend systems and retrieval-augmented (RAG) applications on AWS.

India
Message

What I'm looking for

I’m looking for a team where I can own end-to-end backend and AI-driven systems—building reliable, low-latency RAG features—while growing through strong engineering standards and fast iteration.

I’m a Software Engineer with experience designing and scaling backend systems and distributed applications across cloud environments. I’ve owned end-to-end systems—API design, data modeling, infrastructure, and deployment pipelines—focused on reliability, low latency, and maintainable architecture.

At Adapts AI, I scaled core backend services and built an end-to-end retrieval-augmented (RAG) pipeline for production workloads, including ingestion, retrieval orchestration, and response generation. I also delivered real-time chat workflows with streaming responses, implemented secure authentication/session management with NextAuth, and designed serverless architectures on AWS using Lambda and API Gateway. I modeled and optimized DynamoDB access patterns for low-latency, high-throughput workloads and built infrastructure with AWS CDK, owning CI/CD and multi-stage deployments. Previously at Quantiphi, I improved React-based performance and maintainability, refactored state management with Redux, and built analytics dashboards using Looker and Tableau on Google Cloud.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Punjab Technical University logoPU

Punjab Technical University

Bachelor of Technology, Computer Science

2018 - 2022

Grade: GPA 7.93

Earned a B.Tech in Computer Science from Punjab Technical University (2018–2022), achieving a GPA of 7.93.

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