Raja ehsan riaz Janjua

Academic

Career

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Raja ehsan riaz Janjua
Details
Technical Skills
Soft Skills
Reference
Cell: 923228186509 
Email:
rajaehsan.0022@gmail.com 
Address: MOHALLAH CHAPPAR
CHOA SAIDEN SHAH DISTRICT
CHAKWAL 
Choa saiden shah , Pakistan
Python socket programming
Typescript
Python and bash scripting
Computer vision
Javascript (es6)
Jquery, ajax, mysql
Front end web development
Html/css 5
Modelsim
Multi tasking
Group work
Coordination
Deadline oriented
Punctual and responsible
To be furnished upon request.
Professional Profile
Versatile developer with expertise in Next.js, React.js, Node.js, and MongoDB.
Passionate about computer vision and machine learning using Python. Successfully
implemented algorithms and models for real-world challenges. Committed to creating
innovative solutions and embracing new challenges in technology
Education
BS in Computer Science 
School of Electrical Engineering and Computer Science , 3.63 
Pre Engineering 
Punjab Group of College , 88 (2020) 
Internship Experience
Takhleeq ( 01-May-2023 - 20-Oct-2023 ) 
Web Developer - Developed and maintained websites, demonstrating proficiency in a
variety of programming languages and technologies, including (React Nextjs Wordpress
Node js etc). Delivered visually appealing, user-friendly, and responsive web solutions
while ensuring optimal performance and functionality. C
Projects
Social Media Website 
developed using Reactjs and Node.js/Express.js, using JWT Token Authentication and Authorization.
The website features real-time chatting using Web Sockets for an interactive user experience, and the
data is stored and managed with MySQL. Links: https://github.com/Raja-Ehsan/zictate-Frontend https
Online Book Store Website 
developed using React.js and Express. Redux is used for efficient state management. MongoDB is
used for flexible and scalable data storage. The website has an admin dashboard where the admin can view 
orders 
and manage 
content. L i n k s : https://github.com/Raja-Ehsan/TheArchive-Server
https://github.com
Emotion Detection Mobile Application 
created using Flutter for the frontend, dynamically adapting the theme according to CNN emotion
detection. Employed Flask for the backend, ensuring seamless data processing and efficient communication
Real Time Urdu Lip Reading Application 
Information for Urdu Language Developed a cutting-edge software capable of extracting text from users' spoken words through lip movement analysis in video inputs. Leveraged a powerful stack of technologies, including Python, TensorFlow, Keras, OpenCV, Google Colab, and web scraping, to bring this innovat

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