Prakhar Sharma

Software Engineer

Gurugram, Haryana, India5 yrs 8 mos experience
Most Likely To Switch

Key Highlights

  • Expert in building scalable microservices and serverless architectures.
  • Proven experience in developing fintech solutions for asset management.
  • Strong background in cloud computing and payment systems.
Stackforce AI infers this person is a Fintech and E-commerce software engineer with expertise in cloud solutions.

Contact

Skills

Core Skills

MicroservicesJavaCloud Computing

Other Skills

Apache KafkaAmazon Web Services (AWS)DatabasesApache CamelSnowflake CloudSpring BootKotlinSnowflakeMicrosoft AzurePostgreSQLNoSQLDesign PatternsSoftware DevelopmentAlgorithmsGit

About

Passionate software engineer and tech enthusiast, always on the lookout for new challenges and real-world applications of innovative concepts. With expertise in designing scalable microservices and building serverless architectures, I thrive on solving complex problems, learning on the go, and pushing boundaries.

Experience

5 yrs 8 mos
Total Experience
2 yrs 10 mos
Average Tenure
3 yrs
Current Experience

Hub

Software Engineer

May 2023Present · 3 yrs

  • Team - Data Connect Platform
  • Description - Building SaaS solutions that enable asset managers and hedge funds to seamlessly integrate their financial and investment data into key operational workflows, i.e. client reporting, performance reporting, and NAV oversight.
  • Link - https://www.hub.com/
JavaApache KafkaMicroservices

Amazon

2 roles

Software Engineer

Jul 2020Mar 2023 · 2 yrs 8 mos

  • Team - Amazon Global Pay (Merchant Onboarding)
  • Description - Amazon Pay offers a simple way to check out from your favorite online stores, and manage your payment methods on Amazon (US, UK, JP)
  • Link - https://pay.amazon.com/what-is-amazon-pay
JavaAmazon Web Services (AWS)Cloud Computing

Software Engineer Intern

Jan 2020Jun 2020 · 5 mos

  • Team - MENA High Frequency Categories (Mobile Recharges, Bill payments etc)
  • Description - Building the technology that powers everyday Usecase aka High Frequency useCases (HFC) in the emerging marketplaces starting with (MENA) Middle East and North Africa region and then expanding to other countries/regions (BR, MX).
  • Link - https://www.amazon.com.mx/recharges/mobile/new-mobile-account

Foxmula - the smart way

Remote Machine Learning Intern

May 2019Jun 2019 · 1 mo

  • Learnt about various machine learning algorithms, data processing and how to apply them in real world scenarios . Learnt to learn from online resources, research papers, to work in a professional environment and how to be a good team player!

Education

Vellore Institute of Technology

Bachelor of Technology — Information Technology

Jan 2016Jan 2020

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