Zain Muhammad Mujahid | Software Developer

Hi, I'm Zain.

A

Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving complex and challenging real-world problems.

About

I am a Natural Language Processing Graduate Student at Mohamed bin Zayed University of Artificial Intelligence. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Django, Flask, MySQL, PostgreSQL, MongoDB, HTML5, CSS, C++ during my bachelor's. I have 19 months of professional work experience which helped me strengthen my experience in Vue.js, jset, and Django. I am passionate about developing complex applications that solve real-world problems impacting millions of users. I always wish to work and study in a competitive and innovative environment where there are new challenges with every new project so that I can learn and enhance my technical, analytical, and managerial skills. My research interests lie in Deep Learning mainly in the field of natural language processing and end-to-end text-to-speech systems.

Languages: Python, JavaScript, C, C++, HTML/CSS, Bash
Databases: MySQL, PostgreSQL, MongoDB
Libraries: Numpy, Pandas, Librosa, Scikit-Learn, NLTK, OpenCV
Frameworks: Flask, Django, Vue.js, Node.js, Selenium, Keras, TensorFlow, PyTorch, Bootstrap
Tools & Technologies: Git, Docker, AWS, GCP, Heroku, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

GoPython Software LLC

Software Engineer

Design, code, and debug related to front-end development.
Fully automate the UI testing using Selenium framework.
Maintain and upgrade existing products to improve their performance.
Train other developers and manage the technical aspects of projects.
Improved the response time by 20% by refactoring the codebase and changing database design and queries.
Tools: Vue.js, Python, Flask, MongoDB

October 2021 - June 2023 | Chatham, New Jersey

Center for Language Engineering

Research Officer G-II

Research and development of an end-to-end Urdu Text-to-Speech system using deep learning.
Full stack development of an automated Urdu broadcast media content extraction and analytics system using Django framework.
Development of NLP module to generate phonetic stream from plain Urdu text for the production of natural and intelligible speech.
Development of statistical POS tagger for Urdu using different machine learning approaches.
Creation of installation package for the deployment of HMM based Urdu SAPI voice in Windows environment.
Implementation of Fernet encryption for Urdu lexicon.
Tools: Python, Django, Keras, Tensorflow, PyTorch, MySQL

December 2020 - October 2021 | Lahore, Pakistan

PTESU, Pakistan Wapda Foundation

Internee Engineer

To predict the failure of Power Transformers based on dissolved gas analysis (DGA) data
Created an alert system to send notifications and emails when the parameters exceed the threshold.
Supervising repair, winding, insulation and testing section of the workshop.
Tools: Python, Flask, JavaScript

June 2019 - July 2019 | Lahore, Pakistan

Projects

                
Speech Emotion Recognition
                  A CNN, LSTM and Attention based model to recognize human emotions.
                
AccomplishmentsTools: Scikit-Learn, Librosa, PyTorch
A CNN, LSTM and Attention based model is made using PyTorch.
The model is trained using RAVDESS dataset.
The algorithm is able to predict a total of 8 emotions with upto 96% accuracy.

Sentiment Analysis Deployment
                  An RNN based deployed model for sentiment analysis using AWS.
                
AccomplishmentsTools: Pickle, Scikit-Learn, NLTK, PyTorch, AWS Sagemaker, AWS Lambda, EC2, API Gateway, Endpoints
Designed an RNN in PyTorch and trained this model on movie reviews from IMDB.
Deployed its web application as user interface using AWS.

Face Generation
                  A deep convolutional generative adversarial network for generating faces of celebrities. 
                
AccomplishmentsTools: Pickle, Matplotlib, PyTorch
Implemented a DC-GAN which is trained on the faces of celebrities.
The trained model can generate new realistic faces.

TV Script Generation
                  An RNN based model trained on TV Scripts to generate new TV Scripts which can be used by production companies.
                
AccomplishmentsTools: Numpy, Pickle, PyTorch
Implemented a Recurrent Neural Network which is trained on many
                    existing TV scripts.
This algorithm generates new TV Scripts which can be used by a TV show production
                    company.

Income Classification Web App
                  A web application to predict whether a person earns more than a threshold or not.
                
AccomplishmentsTools: Pandas, Seaborn, Scikit-Learn, Streamlit, Heroku
Several classifiers from SkLearn library were used to predict
                    whether a person earns more than a threshold or not.
Best model was then deployed as a web application
                    using Streamlit on Heroku.

Predicting Bike-Sharing Patterns
                  A deep neural network for bike sharing company.
                
AccomplishmentsTools: Numpy, Pandas
In this project I Implemented a Deep Neural Network from scratch.
The algorithm predicts how many bikes are needed by the company to fulfil the customer requirements on any given
                    day by using the historical data.

Dog Breed Classifier
                  A fine-tuned CNN (VGG-16) to predict the breed of a dog.
                
AccomplishmentsTools:Seaborn, Scikit-Learn, PyTorch
I implemented a pre-trained Convolutional Neural Network (VGG-16) using
                    transfer learning, fine-tuned it by training on different dog breeds.
The algorithm can classify 113 dog breeds efficiently.

Bill Projection
                  A linear regression model hourly/monthly bill projection.
                
AccomplishmentsTools: Matlab
This project takes Date, Time, PV, and Temperature as input data and with the help of machine
                    learning algorithms predicts the monthly residential load demand, which is then further used to calculate the bill
                    of that certain month.

NMRware
                  A GUI based software package for Linux for Metabolite Identificatoin.
                
AccomplishmentsTools: Shell Scripting
This software contains
                    the tools for Metabolite Identification. This software was designed using shell programming and is being
                    currently open sourced.

Skills

Languages and Databases

Python

Go

C++

Shell Scripting

HTML5

CSS3

JS

MySQL

PostgreSQL

Libraries

NumPy

Pandas

Matplotlib

Seaborn

Plotly

Scikit-Learn

Librosa

OpenCV

NLTK

Frameworks

Vue.js

Node.js

Django

Flask

Bootstrap

Keras

TensorFlow

PyTorch

Selenium

Other

Git

AWS

Jira

Slack

Streamlit

Heroku

Education

                  Mohamed bin Zayed University of Artificial Intelligence
                
Abu Dhabi, UAE

                  Degree: M.Sc. Natural Language Processing      
                  
                  CGPA: 3.68/4.0
                  
                  Year: 2022 - 2024
                
                    Relevant Courseworks:
                    
Advanced Natural Language Processing
Deep Learning for Language Processing
Topics in Advanced Natural Language Processing
Advanced Speech Processing
Mathematical Foundations of Artificial Intelligence
Foundations of Artificial Intelligence

                  Nanjing University of Science and Technology
                
Nanjing, China

                  Degree: M.Sc. Computer Science and Technology      
                  
                  CGPA: 3.897/4.0
                  
                  Year: 2021 - 2022
                
                    Relevant Courseworks:
                    
Principles and Methods of Artificial Intelligence
Machine Learning
Data Mining & Big Data Analysis
Fundamentals of Image Analysis
Pattern Recognition Technology
Distributed System and Parallel Computing

                University of Engineering and Technology, Lahore
              
Lahore, Pakistan

                Degree: Bachelor of Electrical Engineering
                
                CGPA: 3.747/4.0
                
                Year: 2016 - 2020
              
                    Relevant Courseworks:
                  
Data Structures and Algorithms
Control Systems
Machine Learning
Database Engineering
Computer Networks
Computer Architecture

Contact

(+971) 56 746 9962

zainmujahid01@gmail.com

github.com/zainmujahid

linkedin.com/in/zainmujahid/