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arpitagarwal-meesho

PROFILE

Arpitagarwal-meesho

Arpit Agarwal developed two core platform features for the Meesho/BharatMLStack repository, focusing on real-time data processing and performance measurement. He implemented an online feature store Kafka consumer using Go and Docker, setting up logging, metrics, and a Kafka listener to process normalized entities efficiently. To streamline engineering workflows, he also created a Bash-based benchmark automation script that runs Go benchmarks with versioned outputs and optional profiling, supporting both targeted and full-suite execution. Arpit’s work demonstrated depth in distributed systems, microservices, and profiling, delivering foundational capabilities that enhance both product reliability and engineering efficiency within a one-month period.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
195
Activity Months1

Work History

May 2025

2 Commits • 2 Features

May 1, 2025

May 2025 (Meesho/BharatMLStack) focused on delivering two key platform capabilities to enable reliable real-time feature processing and standardized performance measurement, driving both product value and engineering efficiency.

Activity

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Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance85.0%
AI Usage30.0%

Skills & Technologies

Programming Languages

BashDockerfileGo

Technical Skills

BenchmarkingDistributed SystemsDockerGoKafkaMicroservicesProfilingShell Scripting

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Meesho/BharatMLStack

May 2025 May 2025
1 Month active

Languages Used

BashDockerfileGo

Technical Skills

BenchmarkingDistributed SystemsDockerGoKafkaMicroservices

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