---
title: "Aarsha Sai Boppudi - Sde2 in Bengaluru | Tal"
description: "Meet Aarsha Sai Boppudi, Software Development Engineer 1 @ Meesho | Systems Design, Engineering based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/aarsha-sai-boppudi/share-image"
---

# Aarsha Sai Boppudi on Tal

## Headline

Software Development Engineer 1 @ Meesho \| Systems Design, Engineering

## About

A graduate of the Indian Institute of Technology, Kharagpur, with a Bachelor of Technology in Computer Science, currently employed as a Software Development Engineer 1 at Meesho\. Contributed to critical projects such as Visual Deduplication and Duplicate Distancing features, enhancing feed quality and reducing redundancy on high\-traffic digital platforms\. Expertise includes Go, systems design, and C\+\+, with a focus on building scalable and efficient backend solutions\. Key contributions to Pricing Platform Engineering and Catalog Visibility Filtering underline a commitment to optimizing system performance and reducing operational costs\. Proficient in end\-to\-end development, testing, and optimization, delivering solutions that align with core business needs\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

gemini

## Work experience

Sde2 at Goodscore, Jul 2026 \- Present · 1 mo, Banglore

Software Devlopment Engineer 1 at Meesho, Jul 2024 \- Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, • Feed Quality & Diversity : Delivered Visual Deduplication and Duplicate Distancing features across For You and CLP pages, and implemented threshold\-based distancing on PDP real estate, improving feed freshness and reducing redundancy through end\-to\-end development and validation\. • Pricing Platform Engineering : Led contributions to the Price Aggregator service, building SDKs and scalable integrations, and developed supporting components in the Model Proxy service\. Enabled byte\-stream–based communication flows, driving significant network cost and latency reductions across PDP real estate\. • System Architecture & Design : Contributed to the Cataol Visibility Filtering re\-architecture and development, addressing 64\-bit logic limitations in the CVF and Catalog Filter Consumer pipelines, improving scalability, correctness, and pipeline reliability under high load\. • Service Migration & Interoperability: Executed HTTP\-to\-gRPC migrations for CLP\-related services across Go and Java systems, improving inter\-service efficiency, reliability, and cross\-language interoperability\. • Platform Reliability & Engineering Excellence: Worked across multiple services and real estates on client integrations, performance tuning, production debugging, and built internal tooling \(including testing and validation utilities\) to strengthen overall system stability and operational excellence\.

Software Engineer at Meesho, Jul 2024 \- Present · 2 yrs 2 mos, • Designed and deployed distributed Visual Deduplication and Duplicate Distancing systems across high\-traffic feeds, reducing duplicate exposure from 14% to 1%\. • Scaled a transaction\-critical Price Aggregator microservice contributing 0\.25% NMV by optimizing concurrency control, data consistency, and pipeline reliability\. • Re\-architected Catalog Visibility Filtering consumers, removing 64\-bit constraints to enable horizontal scalability and higher throughput under peak load\. • Migrated inter\-service communication from REST/HTTP to gRPC, reducing network overhead by 35–40% and improving latency and service reliability\. • Reduced storage footprint by 70% using data compression and improved read performance through Redis\-based distributed caching and concurrent execution optimization\. • Enhanced production observability using CI/CD automation, Grafana dashboards, alerting systems, and validation tooling; supported incident debugging and root cause analysis\.

Augmented Reality Development Intern at Samsung R&D Institute India, May 2023 \- Jul 2023 · 3 mos, • Implemented low\-light image enhancement using CNN\-based U\-Net architecture for real\-time systems\. • Built dataset pipelines using text detection and object identification workflows\. • Achieved PSNR 20\.56 and SSIM 0\.84 while optimizing inference for real\-time deployment\.

Ar vision at Samsung R&D Institute India, May 2023 \- Jul 2023 · 3 mos, Banglore, • Computer Vision Research: Conducted in\-depth research on low\-light text image enhancement, applying CNN\-based U\-Net architectures across diverse datasets to improve image quality and readability\. • Model Development & Evaluation: Built and prepared datasets using text detection and object identification techniques, achieving strong real\-time results with PSNR 20\.56 and SSIM 0\.84\.

## Education

Bachelor of Technology \- BTech, Computer Science, Indian Institute of Technology, Kharagpur

CBSE Class XII, narayana junior college

[View the original profile](https://tal.club/meet/aarsha-sai-boppudi)

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