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Faris Alblooki
Computer Scientist
I graduated with a BSc in Software Engineering with a focus on backend development, distributed systems, and scalable application design. During my studies, I built several hands-on projects that deepened my understanding of system architecture and automation. One standout project involved training a ResNet-based image classification model to identify flower species with 95% accuracy, showcasing my interest in machine learning and performance tuning. I also created several practical tools, such as a Discord-integrated WhatsApp chatbot that leverages GPT-based responses to manage client interactions in real estate. This evolved into a full CRM system used for lead intake, qualification, and agent coordination, combining AI, automation, and messaging into a unified experience.
After completing my degree, I joined R3 as a Developer Evangelist, where I focused on building the Corda developer community. I authored technical documentation, tutorials, demo apps, and support materials to help developers integrate and deploy enterprise-grade blockchain solutions. I also delivered hands-on training sessions and created educational resources for clients and internal teams. During this time, I contributed to initiatives like developer tooling for Corda and helped drive adoption across global partners.
Currently, I work as a Backend Engineer at Talabat (Adex), where I design and implement scalable backend services that power the logistics and food delivery infrastructure across the MENA region. My work involves optimizing performance, building reliable APIs, and maintaining systems that support millions of transactions daily. Alongside my core responsibilities, I actively experiment with side projects like FitIndex, a fitness tracker app I developed using Flutter and Firebase. It gamifies daily habits by scoring performance, offering weekly rankings, prestige levels, and motivational feedback. I also built a video intake and moderation tool tailored for real estate transformations, which includes Slack and email notification systems, video export, tagging, and historical tracking features.
Through both my professional roles and personal projects, I combine practical engineering with creative problem-solving delivering impactful solutions in fitness, real estate, and enterprise tech.
Projects
Procedural Animation Spider-like creatures (Hover for preview and click on image for more information)
I have worked and developed a procedurally animated spider and posted the code and explained it step by step since I have found 0 sources on this. Wanted to help the community. Still working on adding more features to the spider. (C# - unity)
Created a neural network trained on the CIFAR-10 set to identify images
A neural network classifier takes an image as its input and predicts a specific class as its output. The neural network has been trained on the CIFAR-10 training set and has been evaluated on the official CIFAR-10 test set. (Python)
Created a digital version of the educational game Catastrophic by the University of York
Designed and developed a digital version of an educational card game, Catastrophic (https://catastrophic.york.ac.uk/), to extend the educational reach of the game beyond the physical classroom and facilitate a user community and game development in the future using unity.
Image generation through speech
Created a python program that listens into the microphone and sends an AI-generated image using an API from what it listens to. Connected it to discord to use it as a bot to generate images on demand from text or from a video where it uses the text recognition software to generate an image of what it heard in the video
Created a website to identify and track educational journeys
created a website using (PHP, CSS, HTML, MySql, and JavaScript) to create a database with every school in the UAE and a system to plan out a whole education journey from start in kindergarten to university with everything in mind (tuition, information, grades, and requirements)
Created a fully AI generated game
Developed a fully AI generated story interactive game using unity and chatgpt api. The game generates backgrounds for the interactive story depending on the current scene and allows the player to choose the path forward. Each play is a different game because of the AI
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Real estate chatgpt whatsapp bot integration with discord
Developed an AI-driven WhatsApp CRM bot integrated with Discord, designed for real estate businesses to automate lead management and client communication. Built advanced features including smart contact filtering, automated follow-ups, lead assignment, and real-time notifications via Discord. Enabled seamless WhatsApp messaging, client blocking/unblocking, and custom workflows—streamlining property sales, support, and team collaboration across platforms.
Fitindex app
Developed a cross-platform fitness tracker app in Flutter, featuring real-time performance scoring, gamified leaderboards, and social tracking. Integrated with Firebase for secure authentication and data sync, enabling users to monitor daily steps, nutrition, and workouts—empowering healthy habits and community motivation.
Work Experience
Apr 2025 - Present
Oct 2023 - Feb 2025
Jun 2023 - Aug 2023
Backend Engineer | talabat
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My responsibilities include designing, developing, and maintaining robust backend systems to support critical features for Adex within the Talabat ecosystem. I collaborate closely with cross-functional teams to build scalable APIs, optimize database performance, and ensure high system reliability. My main focus is on architecting clean, efficient backend solutions, writing maintainable code, and automating core business processes. I also contribute to technical documentation, conduct code reviews, and mentor team members on best practices. Additionally, I proactively identify and resolve production issues, continuously improve system performance, and stay up-to-date with the latest backend technologies relevant to our platform.
Associate Engineer | R3
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I maintain and optimize internal codebases to ensure functionality and performance across company projects. I explore and test new features, developing detailed learning materials, including documentation and tutorials, to support developers in adopting these features. Additionally, I provide technical support for clients working with Corda, troubleshooting issues and ensuring smooth platform integration. A key part of my role is supporting the implementation of the Digital Dirham (CBDC) project for the Central Bank of the UAE (CBUAE), where I assist with development and deployment tasks.
My responsibilities at R3 are to contribute to the development of educational content, which includes articles, videos, demo apps, and presentations. I also serve as an expert resource for our developer community, staying updated on our platform's capabilities and the technical landscape. My main responsibility is to create engaging Corda-related materials, such as documentation, blog posts, tutorials, demos, coding challenges, support articles, YouTube videos, and feedback surveys. Additionally, I provide technical training on Corda and develop training content for our Professional Service team to educate enterprise developers. I also contribute to updating and maintaining applications for developer use.
Machine Learning Engineer | Saab
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During my employment at Saab I worked on creating and developing object detection algorithms using Python and libraries like PyTorch and models like YOLOv8,5,3 and Detectron all within Docker containers.
Education
Sep 2019 - Jun 2023
May 2023 - Jun 2023
Feb 2022 - Apr 2022
Sep 2019 - May 2020
Sep 2015 - May 2019
Bachelor of Science and Engineering, Computer Science | University of York
Six Sigma Green Belt Specialization | University System of Georgia (Coursera)
Machine learning | Stanford University (Coursera)
Foundation degree,Foundation Certificate in Physics, Mathematics, Computing and Electronic Engineering· | Kaplan International Pathways
High School Diploma, Computer Science | Applied Technology High School