Utkarsh Agrawal

Software Engineer

Bengaluru, Karnataka, India5 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Developed scalable data solutions at Flipkart.
Migrated services to Kubernetes, enhancing efficiency.
Applied NLP for bug prediction in software development.

Stackforce AI infers this person is a Backend-heavy Software Engineer with expertise in scalable data systems and microservices architecture.

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Skills

Core Skills

System DevelopmentMicroservicesMachine Learning

Other Skills

Big CodeCC (Programming Language)C++Defining RequirementsDistributed CachingDropwizardFork-Join PoolGoogle Cloud Platform (GCP)Google Cloud StorageHBaseJavaJavaScriptKubernetesMySQL

About

I have worked as a software engineer at Flipkart Data Platform developing highly scalable and configurable system that allows users to run analytical queries on different data sources and generate reports over data in volumes of 100GB-1TB. I have also worked closely on Kubernetes, migrating services from a VM-based environment to a containerized environment. As part of my current job, I got the opportunity to work closely on micro-services architecture, designing and implementing high-level Architecture.

Experience

5 yrs 7 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 2 mos

Current Experience

Google

SWE 3

Apr 2024 – Present · 2 yrs 2 mos

Flipkart

Software Developer

Feb 2022 – Feb 2024 · 2 yrs · Hybrid

Flipkart Data Platform :
1) Responsible for HLD and LLD of a file mover service capable of moving Tbs of data efficiently, built using Java, Dropwizard, MySQL, and Fork-Join Pool. This brought down the run time of jobs by 20 %.
2) Oncall Reduction: Identified user pain points and successfully automated a few of the issues to reduce the on-call load on the team. This reduced Jira tickets by an average of 20%.
3) Migrated API -Gateway Service from VM-based environment to Kubernetes.
4) Wrote several Java REST APIs for storage service leveraging design patterns such as Strategy Pattern.
5) Designed a deletion tool leveraging Google's Object deletion Policy to periodically cleanup data from GCS buckets.

JavaDropwizardMySQLFork-Join PoolKubernetesREST APIs+3

Sap labs india

2 roles

Associate Developer

Aug 2020 – Jan 2022 · 1 yr 5 mos

Intern

Jan 2020 – Jul 2020 · 6 mos

Worked on S4Federator in Reactive Programming Paradigm(Spring Webflux).
Developed an algorithm to distribute load optimally with minimum redistribution to orchestrate the task.
Worked on S4Federator TestRig to mock the current S4Federator's working.

Adobe

Research Intern

Aug 2019 – Dec 2019 · 4 mos

Worked on "Big Code". Applied Concepts of Natural Language Processing to perform analysis on source code. Bug prediction is one important aspect of this application which aims to save hours of manual labor by developers in repairing and maintaining of code. We worked to capture the semantics of code in an attempt to correct run time errors or bugs.