Hi, Shivam Sourav Jha here!

More about me

I'm an Engineer by profession with specilisation in Electronics and Communication

Before doing Full Stack Development,I was active Datascientist and have the skills at my fingertips

I'm also an Competitive Programmer who loves solving problems.

Apart from coding I'm a Memer,Debater,Writer,
Poet,Wanderlust ,and work for social causes

Invested Most of myself in:

Fullstack developer with primary focus on MERN Stack
with experience in Machine Learning and Deep Learning
Download Resume:

My Prior Experience

• I did 6 month internship at INDmoney.

• I did 4 month internship at Trell.


• Part of the core team that made the Creator-Space platform.


• Worked on the login flow and user data storage details along with caching of data in Redis.


• Optimised existing APIs and re-structured the main feed API.


• Used GOlang,Redis,SQL,Elasticsearch,JWT.

• Selected and grouped with a bunch of fellows I worked under the guidance of a mentor to elevate the project quality.


• Made a VScode extension to track the developer’s activity to predict productivity ratio.


• Contributed to the biggest tech community of 1.5lakh community members.

• Worked as a Software Developer Intern at Stargate Club for 2 months


• Made APIs to accelerate connection from APP to
• store house.


• Made a virtual system to upload and save images
• in backend.


• Learnt AWS Bucket usage,enhanced skills in Node.js and
• Javascript.


• Supported the backend team by enhancing the
• quality of codes.


• Made Versatile changes according to new requirements
• form frontend team.

• During by 2 month tenure as Intern at Truckapp I did:


• Learnt AWS to make core APIs
• Used DynamoDB streams to smoothen the backend
• Shortenend the time for backend team by accelerating
• my contributions.
• Was Dynamic to learn Serverless,DyanmoDB and other cloud
• services to contribute to the growth

• Worked as a FullStack Developer Intern at Sewakar


• Made entire frontend and backend
• of the organisation


• Used MongoDB to store data and Redis to
• cache data in backend.


• Used React to make the frontend


• Decreased the deployment cost to 30% of standard


• Made Versatile changes according to new requirements
• form frontend team.