Qusai Alahmad Almahmoud
Learner - He / Him
(3)
53
Location
Richmond, British Columbia, Canada
Bio

I am an enthusiastic Data Science student with experience in Object Oriented Programming and Data structures and Algorithms in several programming languages such as C++ , python, JavaScript, and Java. I also have experience with Databases.

I like to solve problems using Data structures and Algorithms as it makes problems less complicated when using algorithms to break down the problem into smaller pieces and work them out piece by piece to come up with the best solution that has the least time complexity and space complexity

Portals
Categories
Website development Mobile app development Software development Machine learning Data science

Skills

Machine learning 3 Application programming interface (api) 2 Automation 2 Python (programming language) 2 Algorithm design 1 Business process automation 1 Data analysis 1 Data science 1 Data transformation 1 Django (web framework) 1 Docker compose 1 Docker engine 1 Extract transform load (etl) 1 Feature engineering 1 Financial technology (fintech) 1 Front end design 1 Github 1 Message queuing telemetry transport (mqtt) 1 Node.js (javascript library) 1 Performance reporting 1 Postgresql 1 Project documentation 1 React.js (javascript library) 1 Regulatory compliance 1 Software documentation 1 Systems development life cycle 1 Usability testing 1

Socials

Achievements

Latest feedback

Raj Singh
Raj Singh
He
Webmaster
February 17, 2025
Learner feedback
Was a pleasure to work with, very professional.
Application programming interface (api) Github Postgresql React.js (javascript library) Usability testing Financial technology (fintech) Django (web framework) Regulatory compliance Front end design Node.js (javascript library)
Riipen Level UP 🚀
Telus x Level UP 2024
Riipen Level UP 🚀
Transendity
Multiple Internship Positions (API Development, UX/UI, Frontend, Legal/Compliance Intern)
Transendity
James Northway
James Northway
He / Him
Chief executive officer
February 18, 2025
Individual endorsement
Machine learning Automation Python (programming language) Docker engine Docker compose Data science Extract transform load (etl) Message queuing telemetry transport (mqtt)

Endorsement for Qusai I am pleased to offer my endorsement for Qusai, who has recently excelled in a machine learning project. His proficiency in Python was evident through the effective implementation of complex algorithms and data analysis techniques. Additionally, Qusai demonstrated excellent use of Docker, which facilitated smooth deployment and ensured a scalable and efficient working environment. One of Qusai's notable strengths is his exceptional time management skills. He consistently met deadlines and managed to balance multiple tasks with ease, ensuring that each aspect of the project progressed without any bottlenecks. I highly recommend Qusai for any opportunities that align with his skills and dedication. He has proven to be a valuable asset in our team, bringing not only technical expertise but also a commendable work ethic.

Learner feedback
Subject: Feedback for Qusai on Project Performance I am pleased to share my positive experience working with Qusai on the recent project for our company. Throughout the project, Qusai consistently demonstrated excellent communication skills, ensuring that tasks were completed on time and to a high standard. His proficiency in Python and data science was evident, as he provided valuable insights and solutions that significantly contributed to the project's success. Additionally, Qusai showcased his expertise in Docker, which was instrumental in streamlining our development process. Overall, his commitment and technical capabilities have been a great asset, and I highly recommend him for future opportunities.
Performance reporting Project documentation Feature engineering Application programming interface (api) Machine learning Business process automation Data transformation Systems development life cycle Automation Python (programming language)
Riipen Level UP 🚀
Telus x Level UP 2024
Riipen Level UP 🚀
AIModels Tech Inc.
Smart Process Automation with Machine Learning Applications
AIModels Tech Inc.
Bolanle Solomon-Adewusi
She
Chief executive officer
March 3, 2025
Learner feedback
Qusai did a great job and was always at hand to provide all needed.
Algorithm design Software documentation Machine learning Data analysis
Riipen Level UP 🚀
Telus x Level UP 2024
Riipen Level UP 🚀
The Scholarship Whizz
Scholarship Matchmaker Algorithm Development
The Scholarship Whizz

Recent projects

AIModels Tech Inc.
AIModels Tech Inc.
New Westminster, British Columbia, Canada

Smart Process Automation with Machine Learning Applications

The goal of this project is to create a machine learning application that enhances a specific process through automation or intelligent decision-making. Participants will build and deploy a machine learning model that actively aids a process by classifying, segmenting, or personalizing actions, with a focus on practical implementation and measurable improvements.

Matches 1
Category Machine learning + 4
Open
The Scholarship Whizz
The Scholarship Whizz
Brantford, Ontario, Canada

Scholarship Matchmaker Algorithm Development

The Scholarship Whizz seeks to enhance its platform by developing an advanced algorithm that efficiently matches students with scholarship opportunities tailored to their academic profiles, preferences, and eligibility criteria. The project challenges students to design and implement a sophisticated matching algorithm that provides personalized scholarship recommendations, thereby increasing user satisfaction and platform reach. This initiative offers students a practical opportunity to apply machine learning techniques to a real-world problem, focusing on the optimization of scholarship matching processes. The project is structured to be completed within 60 hours over a period of 2-8 weeks, allowing students to gain hands-on experience in algorithm development and data analysis. By the end of the project, students will have a deeper understanding of how machine learning can be leveraged to address challenges in educational technology.

Matches 4
Category Machine learning + 3
Open
Transendity
Transendity
Regina, Saskatchewan, Canada

Multiple Internship Positions (API Development, UX/UI, Frontend, Legal/Compliance Intern)

Transendity is a fintech platform simplifying online money transfers. To expand and enhance our platform, we are seeking motivated and talented interns to fill key roles in backend API development, UX/UI design, frontend development, and legal/compliance research. Currently, we have the following positons open: Backend Developer (Building API, designing the DB, Django/Express/Node js, PostgreSQL) Frontend Developer (Responsive, user-friendly interfaces using React and Tailwind CSS) UX/UI Designer (Workflows, Wireframes for landing pages, Figma Mockups ) Researcher (Researching policites/Law/Policy/Risk Compliance Intern) Project manager (Ensuring we have an MVP) Why Join Transendity? A chance to work on a real-world fintech solution. Mentorship from experienced professional in software development and compliance. Get insights into our growing platform. Experience how a supportive team environment builds complex systems and platforms.

Matches 4
Category Software development + 2
Open
AIModels Tech Inc.
AIModels Tech Inc.
New Westminster, British Columbia, Canada

Resume Filter API Server

This project aims to develop an advanced Resume Filtering API server that allows users to upload resumes, stores them in a vector database (ChromaDB), and performs semantic searches based on job descriptions or required skills. The system will integrate OpenAI for generating embeddings, summaries, and explanations for the resume matches. It will be built using Flask for the API server and containerized using Docker and Docker Compose. Sphinx will handle documentation, and Pytest will be used for automated testing.

Matches 1
Category Software development + 2
Open

Education

Bachelor's of Science, Data Science
Simon Fraser University
January 2024 - September 2026