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Muhammad J. - Django Developer, React Native, nextjs

My name is Muhammad J. and I have over 9 years years of experience in the tech industry. I specialize in the following technologies: node.js, React, Django, AngularJS, vue.js, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Timberland LLC - TOP American manufacturer and retailer, Madera Residential (Property Management Solution) - Vuejs , Laravel, Artemis (Social Media Attack Detection), Darwin (Deep Learning Predictions), ​AMB (Automated Model Building), etc.. I am based in Dubai, United Arab Emirates. I've successfully completed 9 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • Django Developer

    9 years

  • node.js

    7 Years

  • React

    8 Years

  • Django

    2 Years

Additional skills

Direct hire

Potentially possible

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Experience Highlights

Timberland LLC - TOP American manufacturer and retailer

Timberland is the official online store of Timberland, a renowned lifestyle and outdoor footwear brand. I integrated the sign-in/sign-out flow, managed profiles, and handled user purchases. Furthermore, I worked on the complete flow of the cart and checkout by integrating APIs with MuleSoft and managing all payment methods using different integrations for different locales. I integrated payment methods PayPal, Klarna, credit card, and iDEAL using Adyen and Cybersource. Additionally, I leveraged Vue, Nuxt 3, Vite, and Tailwind to create a performant and visually appealing user experience.

Madera Residential (Property Management Solution) - Vuejs , Laravel

- Madera Residential is a property management solutions product which involve newco(core services), resident portal and websites to provide a full fledge solution to manage properties. It provides clients an interactive dashboard to show the details of properties, residents and billing etc. It also used to manage amenities and deploy websites by few clicks. - Used Laravel for backend development using postgres database, VueJS for the front of all the products under Madera

Artemis (Social Media Attack Detection) | REACT | NODE | PYTHON

- Artemis is social media attack detection product which detect the social media attacks on individual and company. It provides clients an interactive dashboard to show the attack and determine the authenticity of users involved in the attack. It also show the relations of users in the form of network graph. - Used NodeJS for data collection micro-service from Social media platforms(Twitter, Reddit, Facebook), NodeJS for Rest API's, ReactJS for the client side and python for rule engine to detect the attack. Also, Used s3, lambda to trigger on s3 and elastic search to store the data.

Darwin (Deep Learning Predictions)

- By leveraging the best of genetic algorithms and deep learning, Darwin provides the next step into the future of artificial intelligence. It is a complete platform to train your business model on data of CSV format, make prediction to analyse your business and growth of business in future. You can train any kind of model and predict on them. - Darwin is a machine learning product that accelerates data science at scale by automating the building and deployment of models. Darwin provides a productive environment that empowers data scientists with a broad spectrum of experience to quickly prototype use cases and develop, tune, and implement machine learning applications faster than traditional data science methods. These tasks include data cleaning, latent relationship extraction, and optimal model determination. Darwin promotes rapid and accurate feature generation through both automated windowing and risk generation. Darwin quickly creates highly-accurate, dynamic models using both supervised and unsupervised learning methods. - Used NodeJS for Web API's, Python for ML and deep learning, ReactJS for client side, Highcharts, Nginx and Dockers for deployment. My role in this project was to built rest APIs and frontend in ReactJs.

​AMB (Automated Model Building)

​AMB is an utility application which is develop to automate the model building process and make it possible for end user to train models on their complex data and test data on train models.

Education

  • Punjab University College of Information Technology (PUCIT)

    Bachelor of Engineering (BEng) in

Languages

  • English

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