Shubham K.

Shubham K.

Passionate Software Developer with an experience of working in Java/C#/Python/Spring/Django.

Bengaluru , India

Experience: 3 Years

Shubham

Bengaluru , India

Passionate Software Developer with an experience of working in Java/C#/Python/Spring/Django.

486933 USD / Year

  • Immediate: Available

3 Years

Now you can Instantly Chat with Shubham!

About Me

I am from Bihar, India. I have pursued my B.Tech from IIT Hyderabad with major in Computer Science in 2018. SInce July 2018, I am working as a full time Senior Software Developer in  Honeywell Technology Solution, Bangalore,India.

I have...

I have supported development of many Applications from scratch using Java/C#/Python/Spring/Django/Flask technology and also i am well equiped with MySQL/Oracle/MongoDB technology. I also have an experience of developing application with Micro-Service architecture using spring framework. Please have a look at one of my sample microservice project from my Github link(https://github.com/Jaiswal-Shubham/MIcroservices).

I too have a good understanding of Scalable and Highly Available distributed system architecture, and would be really interested to code for those challenges.

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Portfolio Projects

Description

  • Implemented autonomous framework in core Java for validating templates data before

inserting into oracle database.

  • Used Java reflection for dynamically calling validation methods read from database.

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Description

•We have used spring framework.
•Closely working with the users in Phoenix, Arizona and implementing features as per the
user’s requirement.
•Using PL/SQL with Oracle SQL Developer.

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Description

•Wrote algorithm in python which can parse through all the signals consumed/produced and
will automatically generate trace file for linking between high level requirements (HLR) and
low level requirements(LLR).
•Completely automated manual work of performing tracing between HLR-LLR.
•Used C# for the GUI to take required inputs from user.

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Description

•Used Flask framework to implement client-server socket connection.
•Implemented NLP code using python’s nltk library.
•Implemented TF/IDF, cosine similarity based training model.
•Used this model to train any document file using unsupervised learning.

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Description

•Used DMAIC methodology to improve cycle-time of already existing tool with BOT.
•Implemented BOT as windows application using C# and python.
•Reduced cycle time for modelling signals of LRU by 70%.

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