A

Aditya Kumar

AI Researcher

Patna, Bihar, India0 mo experience

Key Highlights

  • Expert in Java and AWS with proven migration success.
  • Achieved significant cost reductions through innovative solutions.
  • Strong foundation in data structures and algorithms.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and cloud technologies.

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Skills

Core Skills

Spring BootCore JavaJavaAws

Other Skills

AWS CloudFormationAlgorithmsAmazon ECSAmazon SQSAmazon VPCAmazon Web Services (AWS)Analytical SkillsC (Programming Language)C++CDKCPPCommunicationComputer NetworkingData StructuresDatabase Management System (DBMS)

Experience

Centre for development of telematics (c-dot)

2 roles

Scientist B

Aug 2023Present · 2 yrs 7 mos

Spring BootMySQLKubernetesCore JavaObject-Oriented Programming (OOP)REST APIs+5

Project Trainee

Jul 2023Jul 2023 · 0 mo

Amazon

Software development Engineer

Jan 2023Jun 2023 · 5 mos · Hyderabad, Telangana, India · On-site

  • Amazon Intern | Shiptech - Team Mercury 🚀
  • Role & Tech Stack: Played a pivotal role in migrating the Fullmetal pipeline to RTVE, employing Java, Spring, typescript and AWS services (ECS, VPC, SQS, CloudFormation). Proficiently conducted testing using JUnit and Mockito for code reliability.
  • Key Achievements:
  • IMR Reduction: Successfully transitioned three old producers to new batch producers using aws SQS, resulting in an impressive IMR reduction of $80K YOY.
  • OE Reduction: Led the migration of six services to a CDK-managed pipeline, saving 10 weeks of SDE effort YOY. This encompassed critical tasks like scaling/descaling, alarm creation, dashboard creation, and host ordering.
  • Environment Enhancement (EE): Post-migration, ensured all write pipelines aligned with the NAWS standard practice, contributing to a more standardized and efficient environment.
  • New Field Addition: Implemented a schema-less architecture in the RTVE pipeline, significantly reducing the time required for adding fields in upstream messages—saving 2-3 weeks of SDE effort.
  • Impact: This transformative project not only optimized costs but also enhanced the adaptability and efficiency of Mercury's services, contributing to the broader success of Amazon Transportation's analytics platform.
CDKJUnitAWS CloudFormationCore JavaObject-Oriented Programming (OOP)Amazon SQS+8

Education

National Institute of Technology , Patna

Bachelor of Technology - BTech — Computer Science

Aug 2019Jul 2023

DAV Public School, Muzaffarpur

Apr 2006Apr 2016

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