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I have developed a web application that helps students find grants and scholarships by matching their information with the corresponding grants. I achieved this through the use of AI and internal search powered by different APIs, which not only identify the most recent opportunities but also provide students with sufficient data to build a perfect application. I utilized React, Vite, and Typescript for the Frontend, and I used Node.js/Express and an LLM-powered chatbot as part of the Backend. I deployed the entire app on AWS. Feel free to check it out here: (_Website not available. Sign in: https://www.twine.net/signup_…I have developed a web application that helps students find grants and scholarships by matching their information with the corresponding grants. I achieved this through the use of AI and internal search powered by different APIs, which not only identify the most recent opportunities but also provide students with sufficient data to build a perfect application. I utilized React, Vite, and Typescript for the Frontend, and I used Node.js/Express and an LLM-powered chatbot as part of the Backend. I deployed the entire app on AWS. Feel free to check it out here: (_Website not available. Sign in: https://www.twine.net/signup_

Mohammad Qudah

Front-End Developer, Back-End Developer, Full Stack Developer, +3

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I have developed a web application that helps students find grants and scholarships by matching their information with the corresponding grants. I achieved this through the use of AI and internal search powered by different APIs, which not only identify the most recent opportunities but also provide students with sufficient data to build a perfect application. I utilized React, Vite, and Typescript for the Frontend, and I used Node.js/Express and an LLM-powered chatbot as part of the Backend. I deployed the entire app on AWS. Feel free to check it out here: (_Website not available. Sign in: https://www.twine.net/signup_…I have developed a web application that helps students find grants and scholarships by matching their information with the corresponding grants. I achieved this through the use of AI and internal search powered by different APIs, which not only identify the most recent opportunities but also provide students with sufficient data to build a perfect application. I utilized React, Vite, and Typescript for the Frontend, and I used Node.js/Express and an LLM-powered chatbot as part of the Backend. I deployed the entire app on AWS. Feel free to check it out here: (_Website not available. Sign in: https://www.twine.net/signup_

Available to hire

I have developed a web application that helps students find grants and scholarships by matching their information with the corresponding grants. I achieved this through the use of AI and internal search powered by different APIs, which not only identify the most recent opportunities but also provide students with sufficient data to build a perfect application. I utilized React, Vite, and Typescript for the Frontend, and I used Node.js/Express and an LLM-powered chatbot as part of the Backend. I deployed the entire app on AWS. Feel free to check it out here: (Website not available. Sign in: https://www.twine.net/signup

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Aragonese

Advanced

Work Experience

Software Engineer Intern at Sun Life

August 15, 2023 - December 21, 2023

• Engineered a microservice pipeline processing 100,000+ JSON messages daily through Apache Kafka, ensuring low-latency event handling and consistent delivery of transformed data to downstream applications • Built Kafka Streams applications in Java to transform and repartition high-volume event data, enabling targeted downstream processing that scaled to handle 2x more messages for tools used by over 5,000 employees • Collaborated in Agile Sprints to redesign MongoDB schemas and architect compound indexes for nested documents, accelerating query execution by 32% and improving retrieval of 10,000+ metadata documents hourly

Software Developer Intern at eWorx Technology

January 16, 2023 - August 3, 2023

• Led a server-side restructure within a Scrum team, migrating a Django API to FastAPI, leveraging async request handling to manage concurrent requests, achieving a 36% reduction in average response latency • Optimized CRUD operations by applying MongoDB query projection and targeted schema improvements for large-scale, high-traffic collections, increasing data retrieval speed by roughly 30% and minimizing tech debt • Modularized large React components to improve reusability, resulting in 25% faster feature implementation • Contributed to CI/CD pipeline updates by automating builds with Jenkins, containerizing services using Docker and managing version control in Bitbucket, reducing rollout issues by 40% while accelerating deployment cycles

Software Developer Intern at AIMS

November 30, 2022 - November 30, 2022

Streamlined CRUD operations on employee records by refactoring Spring Boot logic and optimizing MySQL indexes, reducing API response latency by 22% through improved database query performance. Shipped a document preview feature in React supporting rotation and zooming functionalities, accelerating HR document processing by 20% and cutting paper consumption by over 15% through digital adoption. Developed unit tests using JUnit along with Mockito to validate service logic and REST API behavior through dependency mocking and assertion chaining, increasing test coverage by 28% while mitigating regression risk.