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Arun Singh

SDE-1 @OLA-Krutrim || Ex-Intern @OLA-Krutrim || Ex-Project Lead Intern @Satyamev IAS || Full Stack Web Developer || @NITP25 || Tech Enthusiast 💻🌐|| CSE || ML/AI

Lucknow

3+ years of work experience

Krutrim
Sep 20251 yrPresent

Architected and shipped two production microservices—Balance Service and Invoice Service—in Go (Golang), owning the end-to-end billing lifecycle across cloud-native infrastructure Implemented shard-aware ClickHouse backup and disaster-recovery workflows using incremental backups to S3-compatible object storage, Kubernetes CronJobs, and retention policies; validated recovery against RPO and RTO requirements Implemented Redis caching for balance computation, reducing API latency by 80%; designed cache retry and invalidation logic to maintain consistency under high concurrency Diagnosed and fixed critical bugs in production Go services that caused pod crashes, OOM failures, and nil-pointer panics; eliminated recurring restart loops and improved service stability Automated metering pipelines and golden data validation, reducing manual monitoring by 60% and improving billing accuracy by 40% through OpenMeter integration Resolved metering API latency bottlenecks through query optimization, connection pooling, and asynchronous processing, improving p99 response times Initiated an AI agent framework to automate repetitive operational tasks across metering and billing workflows, reducing toil for on-call engineers Introduced Kafka Connect pipelines and scaled the cloud-native metering architecture across Metering-v2, AI Model, VM, VPC, and Load Balancer services Engineered a config-driven framework integrating mail notifications, PostgreSQL/MongoDB, S3, and Kafka, improving code reuse across teams by 60%
Krutrim
Feb 20257 mosAug 2025

As a Cloud Development Intern at Ola Krutrim, I am gaining hands-on experience in AI-driven cloud computing, scalable infrastructure, and cutting-edge cloud solutions. My role involves working with leading cloud platforms, and serverless architectures to build efficient and secure cloud applications. I collaborate with teams to manage and optimize cloud resources for performance and cost efficiency. Leveraging tools like Kafka, and cloud services, I contribute to the development of AI-powered cloud solutions, ensuring reliability, security, and scalability. Passionate about cloud automation, and AI-driven infrastructure, I am excited to be part of Ola Krutrim’s mission to revolutionize technology with AI-first innovations
Satyamev IAS
May 20243 mosJul 2024

Remote

Our team fosters a collaborative and innovative work culture, utilizing Spring Boot for backend development and React for frontend development. In this role, I am gaining valuable experience in leading projects, coordinating between developers, and ensuring timely delivery of high-quality web solutions...
Dec 20237 mosJun 2024

Patna, Bihar, India

Google Developer Student Clubs NIT Patna
Sep 202310 mosJun 2024

Patna, Bihar, India

THINK INDIA NITP
Aug 202310 mosMay 2024

Patna, Bihar, India

Google Developer Student Clubs NIT Patna
Nov 202211 mosSep 2023

On-site

Arun’s AI Stack

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Education

National Institute of Technology , Patna

B.tech, Computer Science and Engineering

National Institute of Technology , Patna

20214 yrs2025

12(Intermediate), School

Sant Pathik Vidyalaya

20191 yr2020

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Headline

SDE-1 @OLA-Krutrim || Ex-Intern @OLA-Krutrim || Ex-Project Lead Intern @Satyamev IAS || Full Stack Web Developer || @NITP25 || Tech Enthusiast 💻🌐|| CSE || ML/AI

About

I’m a Software Development Engineer at Ola-Krutrim, focused on architecting resilient, high-throughput backend systems that power cloud-native infrastructure. I spend most of my time at the intersection of distributed metering and billing, event-driven pipelines, and production reliability. Whether it's diagnosing memory behavior under load, optimizing database queries, or designing disaster-recovery strategies, I enjoy solving complex problems at scale. What I’m working on right now: 🔹 Microservices in Go: Architecting production-grade Balance and Invoice services. 🔹 High-Performance Caching: Fine-tuning API latency and data consistency using Redis. 🔹 Metering Architecture: Building event-driven pipelines with Kafka Connect and OpenMeter. 🔹 Resilience & DR: Implementing shard-aware backup and recovery workflows for ClickHouse clusters. 🔹 AI for Ops: Experimenting with AI agents to automate operational toil and streamline on-call workflows. Core Tech: Go | Kafka | Redis | PostgreSQL | ClickHouse | Docker | Kubernetes ✍️ I write about technical deep-dives like ClickHouse backups, Kafka reliability, and Go OOM troubleshooting. 📍 Bengaluru, India | 🎓 B.Tech in CSE, NIT Patna ('25)

Location

Lucknow

AI stack

claude

codex

cursor

Work experience

SDE-1 at Krutrim, Sep 2025 - Present · 1 yr, Architected and shipped two production microservices—Balance Service and Invoice Service—in Go (Golang), owning the end-to-end billing lifecycle across cloud-native infrastructure Implemented shard-aware ClickHouse backup and disaster-recovery workflows using incremental backups to S3-compatible object storage, Kubernetes CronJobs, and retention policies; validated recovery against RPO and RTO requirements Implemented Redis caching for balance computation, reducing API latency by 80%; designed cache retry and invalidation logic to maintain consistency under high concurrency Diagnosed and fixed critical bugs in production Go services that caused pod crashes, OOM failures, and nil-pointer panics; eliminated recurring restart loops and improved service stability Automated metering pipelines and golden data validation, reducing manual monitoring by 60% and improving billing accuracy by 40% through OpenMeter integration Resolved metering API latency bottlenecks through query optimization, connection pooling, and asynchronous processing, improving p99 response times Initiated an AI agent framework to automate repetitive operational tasks across metering and billing workflows, reducing toil for on-call engineers Introduced Kafka Connect pipelines and scaled the cloud-native metering architecture across Metering-v2, AI Model, VM, VPC, and Load Balancer services Engineered a config-driven framework integrating mail notifications, PostgreSQL/MongoDB, S3, and Kafka, improving code reuse across teams by 60%

SDE Intern at Krutrim, Feb 2025 - Aug 2025 · 7 mos, As a Cloud Development Intern at Ola Krutrim, I am gaining hands-on experience in AI-driven cloud computing, scalable infrastructure, and cutting-edge cloud solutions. My role involves working with leading cloud platforms, and serverless architectures to build efficient and secure cloud applications. I collaborate with teams to manage and optimize cloud resources for performance and cost efficiency. Leveraging tools like Kafka, and cloud services, I contribute to the development of AI-powered cloud solutions, ensuring reliability, security, and scalability. Passionate about cloud automation, and AI-driven infrastructure, I am excited to be part of Ola Krutrim’s mission to revolutionize technology with AI-first innovations

Project Lead Intern at Satyamev IAS, May 2024 - Jul 2024 · 3 mos, Remote, Our team fosters a collaborative and innovative work culture, utilizing Spring Boot for backend development and React for frontend development. In this role, I am gaining valuable experience in leading projects, coordinating between developers, and ensuring timely delivery of high-quality web solutions...

Web Team Coordinator at Expresso NIT Patna, Dec 2023 - Jun 2024 · 7 mos, Patna, Bihar, India

Web Team Coordinator at Google Developer Student Clubs NIT Patna, Sep 2023 - Jun 2024 · 10 mos, Patna, Bihar, India

Web Team Lead at THINK INDIA NITP, Aug 2023 - May 2024 · 10 mos, Patna, Bihar, India

Web Team Member at Google Developer Student Clubs NIT Patna, Nov 2022 - Sep 2023 · 11 mos, On-site

Education

B.tech, Computer Science and Engineering, National Institute of Technology , Patna

12(Intermediate), School, Sant Pathik Vidyalaya

Public links

github: https://github.com/arunsingh2004