Hi, I'm Monsif đź‘‹
Software Engineer | Machine Learning & Deep Learning Enthusiast . I love building things and helping people. Very active on Twitter.
SM

About

I am a 23-year-old computer engineering student with a focus on computer methods applied to business management. I love competing in hackathons, building new projects, and discovering new technologies. I am currently pursuing a Master’s degree in Computer Engineering and am looking for a six-month internship starting in February 2024 to complete my end-of-study project. In addition to my passion for technology, I love sports, especially bodybuilding

Skills

React
Next.js
Typescript
Node.js
Python
Postgres
Docker
Kubernetes
Java
C++
Spring
Spring Boot
Django
Tailwind CSS
Microsoft .Net (C#)
Javascript
Microsoft SQL Server
Oracle Database
MongoDB
MySQL
Git
GitHub
Pandas
Scikit-learn
Hadoop
Pig
Hive
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

WebMorphers Agency

At WebMorphers, we specialize in designing and developing websites and mobile applications tailored to our clients' needs. We leverage a range of technologies to build responsive, scalable, and visually appealing solutions. Our agency covers the full cycle of development, from design mockups to fully functioning websites and mobile apps.

React
Next.js
Node.js
TailwindCSS
PostgreSQL
Figma
Stripe
Docker
Firebase
MapBox
GONDIF

GONDIF

Collaborated with a team to develop a Progressive Web App (PWA) that allows users to easily book car wash services. The client can specify their location through the app, and a dedicated team arrives with the necessary equipment to wash the car at the specified location, whether in a garage or a parking spot.

Next.js
PWA
TailwindCSS
MapBox API
Node.js
React
Firebase
MEMORIAL

MEMORIAL

Developed an online bookstore where users can purchase books and receive personalized book recommendations based on their purchase history. We trained a recommendation model using data from Kaggle and employed the K-Nearest Neighbors algorithm for precise suggestions. The data was preprocessed and cleaned for better accuracy, and the model was trained using a 70/30 train-test split in Jupyter Notebook.

Django
Python
Scikit-learn
Jupyter Notebook
My SQL
Bootstrap
Kaggle
Luxury Car Rental Website

Luxury Car Rental Website

Collaborated with a friend to build a luxury car rental platform using Spring Boot for the backend and React.js for the frontend. The website allows users to browse available luxury cars, select rental dates, and book vehicles. We implemented user authentication and security features using Spring Security and JWT tokens for secure login. The site provides a seamless booking experience with a responsive design.

React.js
Spring Boot
Spring Security
JWT
TailwindCSS
PostgreSQL
REST API
Java
Hackathons

I like building things

During my time in university, I attended 3+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

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    MEDITERRANEAN SMART CITIES HACKATHON

    TETOUAN, Morocco

    During the hackathon, our team developed a system to monitor street lamps using street cameras. When a street lamp goes off, a notification is sent to a technician via a mobile app we built using Java Mobile. Additionally, we created an admin app using Next.js, allowing administrators to assign zones to teams—ensuring that only the responsible team receives notifications for their designated zone. We also implemented a prioritization feature that guides technicians to prioritize lamps in high-traffic and high-crime areas. Firebase was used as the backend to manage real-time data and notifications.
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    Orbis HOUSE HACKATHON

    Casablanca, Morocco

    In This hackathon, our team developed an arbitrage bot on the Solana blockchain. The bot scans decentralized exchange (DEX) pools for price differences in a given token. When it finds an opportunity, it executes smart contracts to buy the token from the cheaper pool and sell it in the more expensive one, using high-frequency trading strategies to maximize profits. We built the smart contracts in TypeScript, and the app, which allows users to input token addresses and search for arbitrage opportunities, was developed in Next.js, leveraging APIs from the DEXs.
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    RADIOLOGY VISION AI - IEHF HACKATHON 2024

    Casablanca, Morocco

    Radiology Vision AI is an intelligent platform based on artificial intelligence, specifically designed to improve image quality in radiology and optimize diagnostic processes. It focuses on advanced medical image management (CT, MRI, X-rays, etc.), leveraging AI algorithms to enhance resolution, reduce noise, and optimize medical imaging exams. The platform includes features such as noise reduction, resolution enhancement, CT image reconstruction, super-resolution for high-definition images, artifact detection and correction, multimodal image synthesis, image standardization, acquisition time reduction, advanced user interface, and data security measures.
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on Twitter and I'll respond whenever I can. I will ignore all soliciting.