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Aarshasai BOPPUDIAB
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Aarshasai BOPPUDI

@aarshasaiboppudi

Backend Engineer building high-scale distributed systems and microservices with Go and Java for low-latency reliability.

India
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What I'm looking for

I’m looking to build production-grade backend services—distributed, low-latency, and highly available—where I can improve scalability, reliability, and observability, and collaborate on performance optimization and incident-ready systems.

I’m a Backend Engineer building high-scale distributed systems and microservices using Go and Java. I focus on scalability, concurrency, idempotency, data consistency, fault tolerance, low latency, and high availability—especially in production systems with measurable impact.

At Meesho, I designed and deployed distributed Visual Deduplication and Duplicate Distancing across high-traffic feeds, reducing duplicate exposure from 14% to 1%. I scaled a transaction-critical Price Aggregator microservice contributing 0.25% NMV by optimizing concurrency control, data consistency, and pipeline reliability.

I also re-architected Catalog Visibility Filtering consumers to enable horizontal scalability and higher throughput under peak load, and migrated inter-service communication from REST/HTTP to gRPC—reducing network overhead by 35–40% and improving latency and service reliability. I reduced storage footprint by 70% using compression and improved reads with Redis-based distributed caching, while strengthening observability with CI/CD automation, Grafana dashboards, alerting systems, and incident root cause analysis.

Experience

Work history, roles, and key accomplishments

Meesho logoME
Current

Software Development Engineer 1

Meesho

Jul 2024 - Present (1 year 11 months)

Designed and deployed distributed Visual Deduplication and Duplicate Distancing systems, reducing duplicate exposure from 14% to 1%, and scaled a transaction-critical Price Aggregator microservice contributing 0.25% NMV. Migrated inter-service communication from REST/HTTP to gRPC (35–40% less network overhead) and reduced storage footprint by 70% using compression and Redis-based distributed cachi

SI

AR Vision Intern

Samsung R&D Institute India

May 2023 - Jul 2023 (2 months)

Implemented low-light image enhancement using a CNN-based U-Net architecture for real-time systems, achieving PSNR 20.56 and SSIM 0.84 while optimizing inference for deployment. Built dataset pipelines for text detection and object identification workflows to support model training and evaluation.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Kharagpur logoIK

Indian Institute of Technology Kharagpur

B.Tech in Computer Science and Engineering, Computer Science and Engineering

Grade: CGPA: 8/10

Pursued a B.Tech in Computer Science and Engineering at IIT Kharagpur, achieving a CGPA of 8/10. Graduated in 2024.

NC

Narayana Junior College

CBSE Class XII

Grade: 94.5%

Completed CBSE Class XII with 94.5%.

NS

Narayana Kennedy School

CBSE Class X

Grade: 90.8%

Completed CBSE Class X with 90.8%.

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