Personal details

Prashant G. - Remote full-stack developer

Prashant G.

Sr. Software Engineer (Fullstack)
Based in: 🇮🇳 India
Timezone: Pacific Time (US & Canada) (UTC-7)

About

A Full Stack developer with 7+ years of experience in technologies like Python, Perl, Django, Postgres,
Javascript, ReactJS, Redux, ES6, jQuery, NodeJS and ExpressJS.
I’m very familiar with complete Web Application Architecture and Agile methodology and I also have
domain experience of E-Commerce, Finance, Banking, Ed Tech and Market Research.
I’m a self–taught programmer that is constantly striving to learn new things and love to work to get
things right, make things better, and, more importantly, get things done.
Most of my knowledge comes from experience working in my daily job or by my zeal to learn new
things.

Work Experience

Sr. Software Engineer (Product Lead)
NextRev (CIBC as client) | Feb 2022 - Aug 2023
HTML/CSS
Python
ETL
React
JavaScript
DevOps

As part of Nextrev, I worked closely with CIBC (one of the leading banks of Canada and client of Aurea) to manage their public sites and platforms which includes locator services and profile search services. My role was focused on the complete design and execution of things from scratch both on techinical side and managing those down the line. I worked as a SME for the underlying product called "Placeable".

https://locations.cibc.com/

https://advisor.cibc.com/

Sr. Software Engineer
NatWest Group (Royal Bank of Scotland) | Jul 2021 - Feb 2022
Python
Django
PostgreSQL
Es6
React
JavaScript
Microservices
Redux

Working as a Sr. Software Engineer as part of core engineering team in Finance & Risk Solutions de- partment of Bank responsible for designing, developing and delivering majorly release 1.0 applications. Built an analytics platform from scratch for macro economics team of Bank which helps the bank to build different economic scenarios, predict the impact of economic factors (ex. GDP) on bank and visualise and tweak the scenarios in form of graphs/charts. Implementing this solution helped the bank to reduce the overall processing and analysis time for economic scenarios by 70%.

Education

Dr. A.P.J. Abdul Kalam Technical University
Bachelor's degree・Computer Science
Jul 2012 - Jun 2016