Phone: -
Email:-Address: 34,Roderick Road, Birmingham, West Midlands B11 1UE
as
Muhammad Ahmad
Skills
Web Development:
Soft Skills:
Leadership Skills:
Team Management Skills:
Technical Skills
Front-End Skills:
➢ Html & CSS.
➢ Bootstrap.
➢ Next Js
➢ React Js.
• React-Router.
• Redux.
• React-Bootstrap
• React-Redux.
• Axios.
Back-End Skills:
➢ Node Js.
➢ Python(Flask)
Server-less Services:
➢ Firebase.
• Authentication
• Fire store
• Cloud Functions
Database:
➢ MySQL, PostgreSQL
➢ Mongo DB
Tools and IDE:
➢ JetBrains WebStorm.
➢ Visual Studio Code.
WO R K E XPE R IE N C E
1)Senior Software Engineer (Mar-2020-Present)
Edraak Systems
Software Engineer
Working as a MERN stack developer
Working on Various technologies like React, for frontend and Node js or server-less services for backend.
2) Web Developer (Mar-2020-June-2020)
TxLabz, Lahore
3) Associate Software Engineer (Nov 2019-Feb-2020)
InvoZone, Lahore
Education
.
Imperial College of Business Studies (2015 – 2019)
• Bachelor of Science in Computer Science with
CGPA 3.72
Punjab Group of Colleges, Lahore (2013 – 2015)
• Intermediate – FSc (Pre-Engineering)
The Educators High School, Lahore (2011 – 2013)
• High School – Matric
Pr ojec t s :
1) Qwibbs :
Product built on the idea of gifting and e-commerce
Developed all the main features on the front-end
using Next Js.
Integrated Graphql apis and Redux in the client web app
2) Ne tr a Dashboar d :
Created front-end using react js.
Integrated redux for global state management.
Integrated redux thunk as middleware for various api
calls.
Integrated user authentication using jwt.
Created APIs for user authentication and authorization
using node js and jwt.
Created various APIs for fetching data from postgres sql
database.
Integrated various npm packages like antd etc.
Deployment on the Ubuntu server.
3 )Netrasys.com:
• React J s web a pp for intelligent video searching using
machine learning.
• Worked on the front-end part for creating multiple views in
react js
• Worked on the backend part for creating
apis for the existing machine learning models using
python and flask
4) Go og le Pl ace s S cr ip t:
• A re a c t J s a p p w i th s e r v e r l e s s b a c k e n d o f
f i re b a s e i n o rd e r t o u s e g o o g l e m a p s A P I .
• Us e r a u t h e n t i c a ti o n u s i n g f i r e b a s e
• C l o u d f u n c ti o n s f o r g o o g l e m a p s A P I c a l l s .
• I n t e g ra ti o n o f c l o u d f u n c t i o n s w i t h f ro n t - e n d
• F o rm V iew on the f ro nt- e nd side.
•. E x p o rt e d D a ta i n c s v f o rm a t r e c e i v e d f ro m
AP I re s po n s es .
5)Tea m T r acke r:
• A W e b A p p wi t h re a c t J s u s e d f or f r on t - e n d a n d
n o d e J s f o r b a c k - e n d f o r t h e p u rp o s e of a u t o m a ti n g
p r o c e s s of s o f t w a re h o u s e s .
• Us e d C o r e UI a d m i n pa n e l b u i l t i n re a c t.
• M a d e s e v e r a l A PI ’s f o r re t ri e v i n g d a ta f ro m m o n g o
dB u s i n g N o d e J s .
• I n t e g ra t e d A PI ’s w i t h t h e f r o n t - e n d.
• A d d e d p r o t e c t e d ro u t e s f o r u s e r
•
Deployed both back-end+front-end on a digital ocean
droplet.
6) EasyXdi:
•
Worked as a support developer in this project.
• Worked on exporting a pdf report on the basis of
different data of climate valuation from the backend.
• Fixed Bugs.
Additional Info:
• C l a s s R e p re s e n t a t i v e :
P e rf o r m e d d u t y a s
class r epr es enta ti ve (C R) .
• Lang u ag es :
Engl is h, Ur du, P unja bi .
• Hobbi es:
T ra v e l l i n g , R e a d i n g , e t c .
References:
• M a y b e p r o v i d e d if d e s i re d .