Muhammad Jabbar

Timberland is the official online store of Timberland, a renowned lifestyle and outdoor footwear brand.

The website offers a seamless and user-friendly shopping experience. I played a key role in the front-end team, contributing to the development of a newer and improved version of the Timberland website. I led efforts to enhance non-functional requirements, including Akamai redirects, SEO optimizations, and improved logging with Dynatrace and Prometheus. I streamlined the deployment process by integrating events from the Jenkins pipeline directly into Dynatrace. I worked as part of the front-end team to handle the My Account and Checkout modules. 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 such as 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.

The North Face has been a leader in outdoor performance clothing and gear for hiking, skiing, trail running, camping, and other adventures.

I worked as part of the front-end team to handle the My Account and Checkout modules. 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. We also supported the internationalization feature to provide multi-language support. Additionally, I leveraged Vue, Nuxt 3, Vite, and Tailwind to create a performant and visually appealing user experience.

Quext specializes in developing products that enhance community experiences, making them desirable for residents in terms of living, working, and recreation. Our approach involves implementing micro-service architecture, where community management modules are offered as separate services. In my role, I primarily focus on leasing services and other related integrations within the leasing domain.

I contributed to a web-based application for video monitoring systems, handling millions of alarm requests daily. Improved the web app and implemented new features across front-end, back-end, and database layers. Additionally, I developed a comprehensive annotation tool for collecting, reviewing, and visualizing object annotations, including machine-generated annotations.

Madera Residential is a property management solutions product that involves Newco(core services), resident portals, and websites to provide full-fledged solutions to manage properties. It provides clients with an interactive dashboard to show details of properties, residents, billing, etc. It is also used to manage amenities and deploy websites with a few clicks.

Artemis is a social media attack detection product designed to identify and flag social media attacks targeting individuals and companies. It offers clients an interactive dashboard to visualize and analyze these attacks, allowing them to assess the authenticity of the users involved. Additionally, Artemis presents the relationships between users in the form of a network graph, providing valuable insights into the attack patterns and connections.

Darwin revolutionizes the future of artificial intelligence by harnessing the power of genetic algorithms and deep learning.

It serves as a comprehensive platform that allows businesses to train their models using CSV data, make predictions, and analyze their business performance and future growth. With Darwin, users have the flexibility to train and predict various types of models, empowering them to gain valuable insights into their operations. Furthermore, Darwin is a machine learning product that enhances data science at scale by automating the process of building and deploying models. It provides a productive environment for data scientists of all levels of expertise, enabling them to quickly prototype use cases, develop, fine-tune, and implement machine learning applications more efficiently compared to traditional methods. Tasks such as data cleaning, latent relationship extraction, and optimal model selection are automated by Darwin.

The platform also facilitates rapid and accurate feature generation through automated windowing and risk generation techniques. Additionally, Darwin utilizes both supervised and unsupervised learning methods to create highly accurate and dynamic models.

Westend Dental Connect was built to address the challenge of managing complex clinician workflows in a highly regulated healthcare environment while maintaining strict HIPAA compliance. The client needed a secure, scalable platform that could streamline clinician access, membership management, and payment processing without compromising security or user experience.

I led the end-to-end development of the platform using React and Node.js, designing secure authentication and authorization workflows integrated with Microsoft Entra SSO for clinician access. I implemented subscription and membership management through Chargebee, integrated the Dojo API for payment processing, and built secure back-end services and APIs to support HIPAA-compliant workflows. I also contributed to UI/UX improvements, deployment on DigitalOcean, and established robust authentication, session management, and data protection mechanisms.

The result was a scalable, enterprise-grade healthcare platform that centralized clinician operations, simplified membership and billing workflows, improved operational efficiency, and provided a secure, compliant experience for both providers and administrators.

Traditional eCommerce recommendation engines often offer generic suggestions, resulting in poor engagement and missed revenue opportunities. NeuroCart AI was built to deliver real-time, hyper-personalized shopping experiences by understanding customer behavior, sentiment, and purchase context.

I architected and engineered the end-to-end AI platform, designing scalable ML and data pipelines to process customer interactions and continuously adapt recommendations. Using TensorFlow, PyTorch, Hugging Face, and spaCy, I developed recommendation models leveraging NLP, sentiment analysis, reinforcement learning, and predictive analytics. I also implemented distributed data pipelines with Spark and Airflow and deployed production models using TensorFlow Serving and TorchServe for low-latency inference at scale.

The platform increased conversion rates by 35%, improved average order value by 20%, and significantly enhanced customer engagement and loyalty.

Halal Labs faced a business-critical issue where returning users were unable to complete purchases due to conflicts between the authentication system and the user data layer. While new users could successfully transact, existing customers frequently encountered login and checkout failures, resulting in lost revenue, poor user experience, and reduced customer trust.

I engineered and implemented a comprehensive solution by performing deep back-end analysis and troubleshooting across the authentication, database, and checkout workflows. Using Supabase, PostgreSQL, Node.js, and Stripe, I identified and resolved inconsistencies between authentication state and user records, redesigned user state management, and stabilized the end-to-end purchase flow. I also enhanced front-end interactions with Vue 3 and optimized system behavior to ensure seamless sign-up, login, and checkout.

The result was the successful resolution of a revenue-impacting production issue, restoring checkout functionality for returning customers, improving conversion rates, and strengthening customer trust.