I am a software engineer with experience in developing web applications using React, Django, and NodeJS. I have a BS in Computer Science from Lahore University of Management Sciences. I have worked on a range of projects from developing assessment platforms to speaker recognition systems.

• Customized Open edX to create a React and Django based assessment platform; handles 15,000 users/year.
• Built more than 20 REST APIs with Django Rest Framework to integrate Open edX with LitmusTest.
• Revamped the representation of data by adding feature-rich data tables; reduced customer complaints by 80%.
• Mapped out a roadmap with 3 teams to build an MVP based on a Project-Led Growth approach.
• Integrated Stripe Payments to generate revenue stream for the project.
• Integrated Swagger to auto-generate documentation for APIs; saved 10s of hours of manual documentation.
• Integrated social login with Google OAuth and increased customer acquisition.

• Launched a Django-based website; processed registrations for 12,000 candidates for the company's hiring test.
• Collaborated with 2 designers and HR team to complete the project design within 2 weeks.
• Deployed the website on AWS and automated delivery process with a CI/CD pipeline.

• BS Computer Science - 3.51/4.00 GPA
• Awards: Dean’s Honor List in Dec 2018, Dean’s Honor List in Dec 2017

• Advanced React
• Supervised Machine Learning: Regression and Classification
• Docker for Developers
• Software Design: Code and Design Smells

• React and Tailwind CSS based project using Open-Mateo historical weather API.
• Integrated OpenAI completion API to generate weather summary.
• State management handled with React Context.

• Trained a multi-layer Softmax neural network with Urdu-based speech dataset for gender classification and speaker recognition; attained 74% accuracy.

• Led a team of 5 to implement a food ordering application.
• Tech stack included React, Node.js, Express and MongoDB.
• Project management done by Trello.
• Automated testing performed with Selenium.
• Wrote Software Requirements Specification and Software Design Specification documents for requirements.

• Analyzed Airbnb data set of 47K points to predict tourism in New York. Utilized Pandas, NumPy and Scikit-learn for data cleaning and machine learning models to analyze contributing factors to tourism in NY.