Mussawer Raza .
- Software Engineer
- Lahore, Pakistan
- **** **** ****
- 3 yrs Experience
- Within a Month
- Mid-Level
Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in JavaScript and Frontend (React). Strong engineering professional with a Bachelor of Science - in Computer Science from National University of Sciences and Technology (NUST).
Education
B
Bachelors Of Computer Science
National University Of Sciences and Technology (NUST), Bachelor's Degree 2019
Work & Experience
G
Software Engineer
GoSaaS Nov'2020 - Oct'2022
Achievements/Tasks
Trusted to make a universal CAD collaboration tool for clients to version their drawings on the tool using
Electron app with help of React and Redux at frontend.
Improved the work experience for engineers and made
the process efficient for engineers helping them to collaborate and work without any hassle.
S
Software Engineer
Systems Jun'2019 - Oct'2020
Achievements/Tasks
Transformed Legacy application to suite of cloud-
hosted Microservices using .Net Core 3.0 and Laid
groundwork of x10 Traffic Scale.
Followed Agile and Scrum methodologies along with
test driven development with the help of Unit tests and
End-to-End tests using Cypress in TypeScript to ensure
zero defect deliveries for customer satisfaction.
Collaborated with 3 departments to improve operational
efficiency.
Maintained the application by fixing various critical bugs
thus making application error free.
C
Volunteer
Chadar and TABA Sep'2017 - May'2019
Achievements/Tasks
Taught more than 30 children in Kachi Abadis of Islamabad
Helped to Run Street Store for Deserving People
Distributed food in several deserving communities
Projects
E
A Universal tool built for integrated with any CAD
tool to aid the CAD Engineers to version control their
designs within an organization. Helping to achieve
uniformity in designs
M
Revamped the pre-built Monolith application to
Microservices, improving the application response
and efficiency. Resulting in a better customer
experience.
N
Project Funded By Allied bank Natural Language
Engine: A sentiment analyzer through text and audio
of Call center audios. Performing emotion analysis
on audio using RNN model, Text analysis with the
help of R on Urdu text, and Speech-to-Text using
kaldi.
Professional Skills
Language
- TypeScript 1 year(s)
- Javascript 2 year(s)
Framework
- React js 2 year(s)
General
- Redux 2 year(s)
Languages
- English good
