Tayyab Shahid

I successfully contributed to developing and deploying Thesia.ai, an advanced application leveraging Next.js and FastAPI. I utilized TypeScript and Tailwind CSS for robust and scalable front-end design and integrated large language models (LLM) technologies to enhance app functionalities. My responsibilities included managing Amazon EC2 instances, setting up and maintaining GitHub CI/CD pipelines, and optimizing load balancers to ensure high availability and performance. My efforts improved the app's efficiency and user experience, demonstrating strong problem-solving skills and technical expertise.

A real estate website that I developed for a Toptal client using React, Next.js, and Django, with its front and back end deployed on AWS. The site enabled real estate agents to create profiles and list properties for sale.

As the most-visited real estate website in the United States, the Toptal client and its affiliates offer customers an on-demand experience for selling, buying, renting, and financing with transparency and nearly seamless end-to-end service. The company's affiliate lender also provides customers an easy option to get pre-approved and secure financing for their next home purchase.

Developed and maintained RideTo, a comprehensive platform for motorcycle training, utilizing React, Django, TypeScript, and Tailwind CSS to deliver a responsive and user-friendly interface. Implemented key features such as user registration, course booking, and progress tracking, enhancing the user experience and engagement. Leveraged Amazon EC2 for scalable and reliable hosting, ensuring high availability and performance. Streamlined the development workflow by setting up GitHub CI/CD pipelines for automated testing and deployment, reducing the time to market for new features. Ensured code quality and reliability through extensive unit and integration testing with Jest, resulting in a robust and maintainable codebase. Collaborated closely with cross-functional teams to gather requirements and deliver solutions that meet business goals and user needs.

A website that I developed using React and Django, with its front and back end deployed on Heroku.

It combines engaging creative content, interactive technology, and human touch points to inspire participants on their learning journey. It also provides flexible solutions delivered anywhere to fit users and their people.

MachineX is a state-of-the-art machinery building application that I built using Angular, Django, TypeScript, and Tailwind CSS to create a sophisticated and intuitive user interface. I spearheaded the implementation of key functionalities, including machinery design customization, interactive simulation tools, and real-time data visualization, which significantly enhanced user interaction and decision-making capabilities. I deployed robust back-end solutions with Django, ensuring reliable data management and system performance.

I implemented efficient GitHub CI/CD pipelines to automate testing and deployment processes, reducing release times and improving deployment accuracy. I leveraged Jest for comprehensive testing, ensuring high code quality and application stability. I collaborated with product managers, designers, and engineers to integrate user feedback and continuously improve the application's features and performance. I contributed to a high-performing team environment by sharing best practices and fostering a culture of continuous improvement.

A website that allows anyone to write a few words that ideally would be read out by their loved ones at their funeral or passing service. Any user can upload the speech they want to be read at their funeral and add multiple close contacts who will only have access to the user's speech.

I was hired to handle all tech decisions and develop the website with a designer. I used React with TypeScript to develop the front end and the Bootstrap library for its design. I used Sass for the application's styling and Django REST APIs for the back end. I wrote all the APIs by myself. This application targeted people across Europe and took around two months to deliver. Tools used for this application development were PyCharm, WebStorm, and Navicat.

A website offering affordable domain names, web hosting, email, SSL certificates, web design, and online marketing services.

The application targets users who want to buy any domain name for their website. I built the website from scratch using React for the front end, alongside Bootstrap and Sass, and Django for the back end. I also used tools such as PyCharm, WebStorm, and Navicat, completing and delivering the project to the client after three months.

A platform for job applicants to have the final word on their rejections. We wanted to celebrate companies that treat applicants fairly and hold accountable those that don't.

I compiled design and test-case documentation to facilitate the ease of continued development. Also, I developed the website from scratch, which was built using Django templates and Bootstrap for the front-end design. I also used tools like PyCharm and Navicat. We completed the project in four months, and it was beneficial for applicants to use and give reviews related to their experience.

A food ordering and delivery app that I developed for two sets of users: chefs and customers. The chef can create different menus and orders using the chef-facing platform. The customers can visit the customer-facing site, choose any of the chef's kitchens from the list, and select from a specific kitchen's menu to place their order.

I was hired to handle all tech decisions and develop the website with a designer. I used React with TypeScript to develop the front end and the Bootstrap library for its design. I used Sass for the styling of the application and Django REST APIs that I wrote myself for the back end. This application is still under development. It targets people across the USA and is projected to generate good revenue. Tools used for this application development were PyCharm, WebStorm, and Navicat.

A project for my final year that uses the player or stage interface to program LEGO Mindstorms EV3. The robot will then create an initial map of its surroundings, find obstacles on the map, and should be able to move around, inform about its present location, and further explore the map for more obstacles and hurdles.

I worked with my team and implemented it via a LEGO Mindstorms EV3 robot. The programming is in Python, and we implemented machine learning algorithms at the back end. Some of the algorithms tested and implemented are particle filters.

An Airline Management System desktop application based on C, SQL, and OOP, applying all OOP concepts, including encapsulation, abstraction, polymorphism, inheritance, and composition. I also used CSS to enhance the front end and Qt to implement the project.

A fully functional eCommerce website that I designed and developed.

I used JavaScript, Ajax, HTML5, CSS3, and JSON on the front end and ASP.NET and C# on the back end. I also linked with the Microsoft SQL Server database using concepts such as normalization, functional dependencies, and ER and EER diagrams using joins, subqueries, stored procedures, triggers, and transactions.

A Java web application that I developed with Agile SDLC.

I developed the Jakarta EE web application using the MVC architecture. I used Java on the back end with SQL server for its database. I also used JavaScript, HTML5, jQuery, Ajax, Bootstrap 4, and CSS3 for the front end. Finally, I applied the Agile and SDLC methods for developing this project.

A facial recognition app that uses a laptop camera to log in to a system. I used artificial intelligence to detect a person's face and enable logging in.

The system is first trained by feeding some same pictures of the person, and when the person comes in to log in, the trained-picture features are used to detect the person's face. KNN AI classification algorithm is used to achieve this task in MATLAB.

A replica application of WhatsApp that I built for Android.

I implemented all WhatsApp-like features on the app and used Google Firebase for networking support. A local database is also maintained to save users' profile pictures and messages while the internet is down.