Satyam Shubham

Satyam Shubham

$25/hr
Full stack software engineer.
Reply rate:
-
Availability:
Hourly ($/hour)
Location:
Jamshedpur, Jharkhand, India
Experience:
3 years
About

Experienced software engineer with strong command over developing frontend and backend applications. I have a demonstrated history of working over the stack right from writing code to setting up CD pipelines to setting up applications in cloud.

Qualifications:

  • Strong engineering professional with a Bachelors of Engineering in Computer Science & Engineering from one of the most reputed institutes in India, BIT Mesra.
  • Have experience in learning new technologies for projects over and over again.
  • Critical thinker with a long term vision in building out quality stuff.
  • Strong believe in writing maintainable projects which can serve the clients for a long time with minimal effort.

Skills:

  • Java, Springboot
  • React, Javascript
  • Flutter
  • Postgres SQL, MongoDB
  • CI/CD, Azure, Kubernetes

The following are the projects I have :

  • Worked on creating an in house Customer Relationship Management tool for fundraising.  
  • Worked on the automation of the entire lifecycle of a fund from a Private Equity business perspective, i.e, commitments of investors, capital calls, investments, distribution etc. 
  • Created and managed a web application from end to end for managing fund hierarchy in a Private equity business. The application solved problems like managing investor cash flows, tracking investor returns, tracking fund returns etc. 
  • Contributed to the resiliency uplift of the integration of the firm system with the vendor analytics calculation. Microservice driven architecture was used to solve this integration problem. 
  • Contributed to a cross platform app built in Flutter. Designed and implemented onboarding experience of users on the app, referral feature in the app, initiating a ping to friends, follower-following model. Used bloc state management pattern and async programming to maintain state & build an efficient solution.
  • Improved CPU performance by 2% at scale ~ 400k qps. Used various analysis and benchmarking tools to arrive at the solution. 
  • Improved application server start time by 20% by using offline batching techniques. Considered various tradeoffs of distributed systems to arrive at the solution.
Languages
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